Organizational Communication

Perspectives: 1. Interpretivism 2. Critical theory 3. Postmodernism 4. Feminism

Theories: 1. Marx  2. Frankfurt School 3. Foollett’s bridge theory  4. General Theory 5. Pragmatist Theory

6. Purist Theory

 

Requirment: 1. Perspectives includes all points, total 2 pages

2. Each theory one page      , total 6 pages

3. References

 

Attachements are books and PPT you may find useful.

ORGANIZATIONAL COMMUNICATION

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ORGANIZATIONAL COMMUNICATION A Critical Approach

Dennis K. Mumby The University of North Carolina

at Chapel Hill

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FOR INFORMATION:

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Library of Congress Cataloging-in-Publication Data

Mumby, Dennis K. Organizational communication: a critical approach /Dennis K. Mumby.

p. cm.

Includes bibliographical references and index.

ISBN 978-1-4129-6315-2 (pbk.)

1. Communication in organizations. I. Title.

HD30.3.M863 2013 306.44—dc23 2012018541

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Brief Contents Preface Acknowledgments

PART I: D EVELOPING A CRITICAL APPROACH TO ORGANIZATIONAL COMMUNICATION 1 Introducing Organizational Communication 2 The Critical Approach

PART II: THEORIES OF ORGANIZATIONAL COMMUNICATION AND THE MODERN ORGANIZATION 3 Scientific Management, Bureaucracy, and the Emergence of the Modern

Organization 4 The Human Relations School 5 Organizations as Communication Systems 6 Communication, Culture, and Organizing

PART III: CRITICAL PERSPECTIVES ON ORGANIZATIONAL COMMUNICATION AND THE NEW WORKPLACE 7 Power and Resistance at Work 8 The Postmodern Workplace: Teams, Emotions, and No-Collar Work 9 Communicating Gender at Work 10 Communicating Difference at Work 11 Leadership Communication in the New Workplace 12 Branding and Consumption 13 Organizational Communication, Globalization, and Democracy 14 Communication, Meaningful Work, and Personal Identity

Glossary References Index About the Author

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Detailed Contents Preface Acknowledgments

PART I: DEVELOPING A CRITICAL APPROACH TO ORGANIZATIONAL COMMUNICATION

1 Introducing Organizational Communication

Organizations as Communicative Structures of Control Defining “Organizational Communication”

Interdependence Differentiation of Tasks and Functions Goal Orientation Control Mechanisms

Direct Control Technological Control

Critical Technologies 1.1: Defining Communication Technology Bureaucratic Control Ideological Control Disciplinary Control

Communication Processes Framing Theories of Organizational Communication

Functionalism: The Discourse of Representation Interpretivism: The Discourse of Understanding

Critical Case Study 1.1: A Conduit Model of Education Critical Theory: The Discourse of Suspicion Postmodernism: The Discourse of Vulnerability Feminism: The Discourse of Empowerment

Conclusion Critical Applications Key Terms

2 The Critical Approach

The Critical Approach: A History Karl Marx

Marx’s Key Issues Critiquing Marx

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The Institute for Social Research (the Frankfurt School) Critical Theory and the Critique of Capitalism Critical Theory and the Critique of Enlightenment Thought

Critical Case Study 2.1: McDonaldizing “Fridays” Critiquing the Frankfurt School

Cultural Studies Understanding Organizational Communication From a Critical Perspective

Organizations Are Socially Constructed Through Communication Processes Critical Technologies 2.1: Mediating Everyday Life

Organizations Are Political Sites of Power and Control Organizations Are Key Sites of Human Identity Formation in Modern Society Organizations Are Important Sites of Collective Decision Making and

Democracy Organizations Are Sites of Ethical Issues and Dilemmas

Conclusion Critical Applications Key Terms

PART II: THEORIES OF ORGANIZATIONAL COMMUNICATION AND THE MODERN ORGANIZATION

3 Scientific Management, Bureaucracy, and the Emergence of the Modern Organization

The Emergence of the Modern Organization Time, Space, and the Mechanization of Travel Time, Space, and the Industrial Worker

Critical Technologies 3.1: Timepieces and Punch Clocks Scientific Management: “Tayloring” the Worker to the Job

Taylor’s Principles: The “One Best Way” The Contributions of Frank and Lillian Gilbreth A Critical Assessment of Scientific Management The Legacy of Scientific Management

Bureaucratic Theory: Max Weber and Organizational Communication Weber’s Types of Authority

Charismatic Authority Traditional Authority Rational–Legal Authority

Weber’s Critique of Bureaucracy and the Process of “Rationalization” The Legacy of Bureaucracy

Critical Case Study 3.1: Rationalizing Emotions

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Conclusion: A Critical Assessment of “Classic” Theories of Organization Critical Applications Key Terms

4 The Human Relations School

Placing the Human Relations Movement in Its Historical and Political Context Elton Mayo and the Hawthorne Studies

The Hawthorne Studies The Illumination Studies (1924–1927) The Relay Assembly Test Room (RATR) Studies (April 1927–February

1933) The Interview Program (September 1928–January 1931) The Bank Wiring Observation Room Study (November 1931–May 1932)

Implications of the Hawthorne Studies Critical Case Study 4.1: Reframing Happiness at Zappos A Critique of the Hawthorne Studies

Reexamining the Empirical Data Critiquing the Ideology of the Hawthorne Researchers

The Wholly Negative Role of Conflict Rational Manager Versus “Sentimental” Worker Gender Bias in the Hawthorne Studies

Summary Mary Parker Follett: Bridging Theory and Practice

Follett’s Theory of Organization The Strange Case of the Disappearing Theorist

Human Resource Management Douglas McGregor’s Theory X and Theory Y

Critical Technologies 4.1: “Wilfing” Your Life Away Rensis Likert’s Four Systems Approach Critiquing Human Resource Management

Conclusion Critical Applications Key Terms

5 Organizations as Communication Systems

Situating the Systems Perspective The Principles of the Systems Perspective

Interrelationship and Interdependence of Parts Holism

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Input, Transformation (Throughput), and Output of Energy Negative Entropy Equilibrium, Homeostasis, and Feedback Hierarchy Goal Orientation Equifinality and Multifinality

Organizations as Systems of Communication Critical Technologies 5.1: Organizing Food

Karl Weick and Organizational Sense Making Weick’s Model of Organizing: Enactment, Selection, and Retention A Critical Perspective on Weick

Critical Case Study 5.1: Airlines and Equivocality Niklas Luhmann and the Autopoietic Organization

A Critical Perspective on the Autopoietic Organization Conclusion Critical Applications Key Terms

6 Communication, Culture, and Organizing

The Emergence of the Cultural Approach Two Perspectives on Organizational Culture

The Pragmatist Approach: Organizational Culture as a Variable Critical Technologies 6.1: Communication Technology and Organizational Culture

The Purist Approach: Organizational Culture as a Root Metaphor A Broader Conception of “Organization” The Use of Interpretive, Ethnographic Methods The Study of Organizational Symbols, Talk, and Artifacts

Relevant Constructs Facts Practices Vocabulary Metaphors

Critical Case Study 6.1: Organizational Culture and Metaphors Rites and Rituals

Organizational Stories Summarizing the Two Perspectives

Conclusion Critical Applications Key Terms

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PART III: CRITICAL PERSPECTIVES ON ORGANIZATIONAL COMMUNICATION AND THE NEW WORKPLACE

7 Power and Resistance at Work

Perspectives on Power and Organizations Power as Social Influence The One-Dimensional Model of Power The Two-Dimensional Model of Power The Three-Dimensional Model of Power

Organizational Communication and Ideology Critical Case Study 7.1: Ideology and Storytelling

Ideology Represents Particular Group Interests as Universal Ideology Obscures or Denies Contradictions in Society Ideology Functions to Reify Social Relations

Examining Organizational Communication Through the Lens of Power and Ideology

Organizational Communication and Corporate Colonization Engineering Culture

Resisting Corporate Colonization The Hidden Resistance of Flight Attendants

Critical Technologies 7.1: Social Media as Resistance Conclusion Critical Applications Key Terms

8 The Postmodern Workplace: Teams, Emotions, and No-Collar Work

Disciplinary Power and the Postmodern Organization The Postmodern Organization: From Fordism to Post-Fordism

The Fordist Organization The Post-Fordist Organization

The Post-Fordist Organization: Teams, Emotions, and No-Collar Work Teams at Work

Critiquing Work Teams Critical Technologies 8.1: Virtual Teams

Emotions at Work Critical Case Study 8.1: What Does Drinking Coffee Have to Do With Organizational Communication?

Doing “No-Collar” Work Conclusion

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Critical Application Key Terms

9 Communicating Gender at Work

Feminist Perspectives on Organizational Communication Liberal Feminism: Creating a Level Playing Field Radical Feminism: Constructing Alternative Organizational Forms Critical Feminism: Viewing Organizations as Gendered

Critical Technologies 9.1: Gender, Technology, and Power Masculinity and Organizational Communication Critical Case Study 9.1: Why My Mom Isn’t a Feminist Conclusion Critical Applications Key Terms

10 Communicating Difference at Work

Defining Difference Race and Organizational Communication

Putting Race and Organization in Historical Context Race and the Contemporary Workplace Interrogating Whiteness and Organizational Communication

Critical Case Study 10.1: Interrogating Mumby Family Whiteness The Body, Sexuality, and Organizational Communication

Instrumental Uses of the Body and Sexuality Critical Technologies 10.1: Technologies of the Body Critical Case Study 10.2: Sexing up the Corporate Experience

Sexual Harassment in the Workplace Resistant/Emancipatory Forms of Sexuality

Gay Workers and “Heteronormativity” Conclusion Critical Applications Key Terms

11 Leadership Communication in the New Workplace

Traditional Perspectives on Leadership The Trait Approach The Style Approach The Situational Approach Summary

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New Approaches to Leadership Leadership as Symbolic Action Transformational Leadership Followership

Critical Case Study 11.1: Leadership Lessons From “Dancing Guy” Critical Technologies 11.1: E-Leadership A Critical Communication Perspective on Leadership

Leadership and Disciplinary Power Resistance Leadership Narrative Leadership Gender and Leadership

Conclusion Critical Applications Key Terms

12 Branding and Consumption

Branding Critical Case Study 12.1: Diamonds Are Forever? Branding and Identity Critical Case Study 12.2: When Brands Run Amok Marketing, “Murketing,” and Corporate Colonization Organizations, Branding, and the Entrepreneurial Self Critical Technologies 12.1: Do You Have Klout? The Ethics of Branding Conclusion Critical Applications Key Terms

13 Organizational Communication, Globalization, and Democracy

Defining Globalization Spheres of Globalization

Globalization and Economics Globalization and Politics

Globalization and Resistance Globalization and Culture

Critical Case Study 13.1: Culture Jamming Nike The Globalization of Nothing

Gender, Work, and Globalization Critical Technologies 13.1: Work, Technology, and Globalization in the Call

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Center Communication and Organizational Democracy

Mason’s Theory of Workplace Participatory Democracy Stohl and Cheney’s Paradoxes of Participation

Paradoxes of Structure Paradoxes of Agency Paradoxes of Identity Paradoxes of Power

Deetz’s Stakeholder Model of Organizational Democracy Conclusion Critical Applications Key Terms

14 Communication, Meaningful Work, and Personal Identity

Meaningful Work A Sense of Agency Enhances Belonging or Relationships Creates Opportunities for Influence

Critical Technologies 14.1: How Does Communication Technology Affect Our Experience of Work?

Permits Use and Development of Talents Offers a Sense of Contribution to a Greater Good Provides Income Adequate for a Decent Living

Managing Work Identity: Some Historical Context Creating and Managing Work Identities

Identity, Identification, and Disidentification Conformist Selves Dramaturgical Selves Resistant Selves

No Collar, No Life Critical Case Study 14.1: A Tale of Two Countries Conclusion Critical Applications Key Terms

Glossary References Index About the Author

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Preface

I have a confession to make (well, two actually). I have never been a huge fan of textbooks. So, you may legitimately ask, what on earth am I doing authoring one? Good question. The simple answer (only partially true) might be that I finally caved to student-consumer pressure to provide something that makes a bit more sense than all those interminable academic articles I assign to students. If I am to be “coerced” into adopting a textbook, I thought, at least I can write one that I actually like!

Okay, so that was just a minor consideration. There are actually several good organizational communication textbooks available, though none of them really fits the way I like to teach this class. In fact, one of my major problems with the typical textbook is that it’s written as if from nowhere. It’s hard to tell from reading the book if the author even has a particular perspective or set of assumptions that he or she brings to the study of organizational communication. Every textbook reads as though it’s an objective, authoritative account of a particular body of knowledge; the author’s voice almost never appears. But the truth is that every theory and every program of research you’ve ever read about in your college career operates according to a set of principles—a perspective, if you like—that shapes the very nature of the knowledge claims made by that research.

Now, this does not mean that all research is biased in the sense of simply being the expression of a researcher’s opinions and prejudices; all good research is rigorous and systematic in its exploration of the world around us. Rather, I’m saying that all researchers are trained according to the principles and assumptions of a particular academic community (of which there are many), and academic communities differ in their beliefs about what makes good research. That’s why there are debates in all fields of research. Sometimes those debates are over facts (this or that is or isn’t true), but more often those debates are really about what assumptions and theoretical perspectives provide the most useful and insightful way to study a particular phenomenon.

Certainly, the field of organizational communication is no different. In the 1980s our field went through “paradigm debates” in which a lot of time was spent arguing over the “best” perspective from which to study organizations—a debate in which I participated (Corman & Poole, 2000; Mumby, 1993, 2000). Fortunately, the result of these debates was a richer and more interesting field of study; some disciplines are not so lucky and end up divided into oppositional camps, sometimes for many decades.

Overview of the Book

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But what does this have to do with writing a textbook? It’s my belief that not only should a textbook adequately reflect the breadth of different perspectives in a field, but it should also adopt its own perspective from which a field is studied. It makes no sense that an author should have to check his or her theoretical perspective at the door when he or she becomes a textbook author—the pretense of neutrality and objectivity is, for me, a nonstarter. In fact, I would argue that, from a student perspective, reading a textbook that’s explicit about its theoretical orientation makes for a much richer educational experience. It’s hard to engage in an argument with someone when that person refuses to state his or her position; when you know where someone is coming from you are better able to engage with his or her reasoning, as well as articulate your own perspective. Dialogue is possible!

So, it’s important to me that you know up front who you’re dealing with here. For the past 25 years I’ve been writing about organizations from what can broadly be described as a critical perspective. This means that I am interested in organizations as sites of power and control that shape societal meanings and human identities in significant ways. Thus, I am less interested in things like how “efficient” organizations are (a perspective that some researchers would take) and more interested in how they function as communication phenomena that have a profound—sometimes good, sometimes bad—impact on who we are as people. We spend almost all our time in organizations of one kind or another, and certainly our entire work lives are spent as members of organizations, so it’s extremely important to understand the implications of our “organizational society” of various kinds for who we are as people.

Furthermore, the way I have structured this textbook does not mean that it is only about the critical perspective. In some ways it is a “traditional” textbook in its coverage of the major research traditions that have developed in the field over the past 100 years. The difference from other textbooks lies in my use of the critical perspective as the lens through which I examine these traditions. Thus, the critical perspective gives us a particular—and, I would argue, powerful—way of understanding both organizational life and the theories and research programs that have been developed to understand it. So as you are reading this book, keep reminding yourself, “Dennis is a critical theorist—how does this shape the way he thinks about organizations and lead him to certain conclusions about the theory and practice of organizational life rather than others?” Also ask yourself, “When do I agree with Dennis, and when do I disagree with him? Why do I agree/disagree, and what does that tell me about my own view of the world?”

In addition to the critical perspective I adopt in this book, I’m also bringing a particular communication approach. Rather than thinking of this book as exploring theories of organizational communication, you can think of it as developing a communication mode of explanation that enables us to understand organizations as communicative phenomena. Organizations can (and have) been studied from

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psychological, sociological, and business perspectives (among others), but to study them from a communication perspective means something distinctive and, I think, unique. From this perspective, communication is not just something that happens “in” organizations; rather, it is the very lifeblood of organizations. It is what makes organizations meaningful places that connect people together to engage collectively in meaningful activity. The implications of this communication perspective will become clearer as we move through the chapters of the book.

Pedagogical Aids

I’ve also included some elements that will assist you in getting to grips with the various and sometimes complex issues that we’ll be addressing. First, each chapter contains at least one Critical Case Study that enables you to apply the issues discussed in that chapter to a real-world situation. Think of these case studies as an effort to demonstrate the fact that “there’s nothing as practical as a good theory.” Second, each chapter contains a Critical Technologies box that provides some insight into the increasing and now-ubiquitous role of communication technology in everyday organizational life. Because any chapter on technology is quickly outdated these days, the box format seemed the most useful way to go. Third, the book is unique in its inclusion of full chapters on (1) postmodernism and the post-Fordist organization, (2) gender and organizations, (3) difference and organizations, (4) branding and consumption, and (5) the meaning of work. All these chapters in various ways address the changing nature of work and organizations. Finally, each chapter highlights key terms in bold throughout the text and lists the key terms at the end of each chapter, along with definitions in the glossary at the end of the book.

Ancillaries

In addition to the text, a full array of ancillary website materials for instructors and students is available at www.sagepub.com/mumbyoc.

The password-protected Instructor Teaching Site at www.sagepub.com/mumbyoc contains a test bank, PowerPoint presentations, chapter summaries, and web resources for use in the classroom.

The open-access Student Study Site at www.sagepub.com/mumbyoc contains web resources, quizzes, and interactive flashcards for key terms to enhance student learning.

The Critical Perspective of the Book

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Let me say one last thing about the perspective I adopt in this book. I view this textbook (and, indeed, any textbook) as political in the sense suggested by organizational communication scholars Karen Ashcraft and Brenda Allen (2003):

As they orient students to the field and its defining areas of theory and research, textbooks perform a political function. That is, they advance narratives of collective identity, which invite students to internalize a particular map of central and marginal issues, of legitimate and dubious projects. (p. 28)

As I suggested above, knowledge is far from neutral, shaping our understanding of it in particular ways. The “map” I want to lay out for you will, I hope, enable you to negotiate organizational life as more engaged and thoughtful “organizational citizens.” As such, I hope you will be better equipped to recognize the subtle and not-so-subtle ways organizations shape human identities—both collective and individual.

REFERENCES

Ashcraft, K. L., & Allen, B. J. (2003). The racial foundation of organizational communication. Communication Theory, 13, 5–38.

Corman, S. R., & Poole, M. S. (Eds.). (2000). Perspectives on organizational communication: Finding common ground. New York: Guilford.

Mumby, D. K. (1993). Critical organizational communication studies: The next ten years. Communication Monographs, 60, 18–25.

Mumby, D. K. (2000). Common ground from the critical perspective: Overcoming binary oppositions. In S. R. Corman & M. S. Poole (Eds.), Perspectives on organizational communication: Finding common ground (pp. 68–88). New York: Guilford.

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Acknowledgments

Oh, yes—the second confession. I started writing this book years ago. In fact, I’ve completed three other book projects since I started this one. There’s no single explanation for why it took so long—certainly, changing jobs and becoming a department chair (always a productivity killer) had an impact. To make matters worse, my original publisher was bought out by a much larger company, and my new editor didn’t seem invested in the project—a hard lesson in the politics of the corporate world. Bringing ideas to fruition is just as much about the relationships you have with the people around you as it is about your own ability and discipline. And in that regard I finally got lucky—Todd Armstrong at SAGE knew I was working on a textbook and kept pestering me to sign up with him. I’d worked with Todd on several other projects and knew what a smart, energetic, and all-around great person he was. It’s due in good measure to Todd that this book has finally seen the light of day. Todd left SAGE before the project was finished, but his successor, Matt Byrnie, and Associate Editor Nathan Davidson kept the project moving along with well-timed feedback and plenty of encouragement. Other SAGE staff, including editorial assistant Stephanie Palermini, Assistant Editor Terri Accomazzo, marketing manager Liz Thornton, and Production Editor Eric Garner proved to be an excellent support team. Last, but not least, Meg Granger was a phenomenal copy editor with a great eye for detail; whatever she gets paid, it’s not enough.

Speaking of feedback, this might well be the most reviewed textbook in the history of publishing. Sometimes reviewer feedback can drive you nuts because it’s inconsistent and at times even contradictory. But I was lucky enough to get a wealth of constructive and encouraging comments from organizational communication scholars across the field. In alphabetical order, they are, Patrice M. Buzzanell, Theresa Castor, Jennifer R. Considine, Nancy J. Curtin, Maria A. Dixon, Jennie Donohue, Francine Edwards, Kristine Fitch, Marie Garland, Bethany Crandell Goodier, Liane M. Gray-Starner, Di Grimes, Terry L. Hapney Jr., Jessica Katz Jameson, Jeannette Kindred, Erika Kirby, Tim Kuhn, Dan Lair, Kurt Lindemann, Gina Marcello, Caryn Medved, Rebecca Meisenbach, George W. Musambira, Karen K. Myers, Majia Holmer Nadesan, Todd Norton, Andrea M. Pampaloni, Robyn V. Remke, Maria E. Rodriguez, Jennifer Mize Smith, Patty Sotirin, Rob Whitbred, Lynda R. Willer, Mary E. Wilson, Jason S. Wrench, and Heather Zoller, plus a couple of folks who wished to remain anonymous. Reviewing takes a lot of time and energy, and I appreciate everyone’s willingness to give detailed comments that, I’m sure, took up time they didn’t have.

Thanks also to my excellent colleagues in the Department of Communication

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Studies at UNC–Chapel Hill—it would be hard to imagine a more stimulating and supportive environment in which to be a scholar and teacher.

The completion of this book was aided greatly by a one-semester Research and Study Assignment from the University of North Carolina at Chapel Hill during fall semester 2011. In addition, the Danish Otto Mønsteds Foundation provided a generous research grant that underwrote a 4-month appointment at Copenhagen Business School (CBS) during spring and summer 2011. My colleagues in the Department of Intercultural Communication and Management at CBS—especially Robyn Remke, Mikkel Flyverbom, Christina Frydensbjerg, Dan Kärreman, Esben Karmark, Eric Guthey, Hans Hansen, Linda Harrison, and Dorte Salskov-Iversen— provided a wonderfully supportive, collegial, and stimulating research environment in which to work. Tak for alt! Thanks especially to Mikkel for the loan of the bike! Majbritt Vendelbo was especially helpful with the logistics of moving to and living in a new country.

It will become clear as you read this book that I don’t spend a whole lot of time writing while shut up in an office somewhere. I prefer to be out in the world and engaged with people. Most of this book was written “in public,” as it were. The bucolic pleasures of Caffé Driade in Chapel Hill provided an ideal writing environment away from the hustle and bustle of campus, in addition to the best espresso drinks anywhere. Thanks to all its baristas and patrons for tolerating my hogging the corner table. In Copenhagen, The Living Room, Log Lady, and Paludan Books were similarly welcoming and accommodating.

Thanks also to Al, Bazza, and Pete (founding members of the Department of Philosophy and Popular Culture at Stoke Rochford University) for organizing annual summer symposia, and for reminding me that it’s alright to be out standing in the field, as long as you do some good mantlin’ around, god aye.

Finally, thanks to my family for their continued love and support, and for reminding me about life’s real priorities.

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PART I

Developing a Critical Approach to Organizational Communication

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© Can Stock Photo Inc./wacker

Humans are organizational animals; modern life is defined by organizations and corporations.

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CHAPTER 1

Introducing Organizational Communication

Perhaps at no other time in human history have organizations and communication been more central to our lives than they are now. We go to work, attend college and church, do volunteer work, join social groups, shop at numerous stores, internalize thousands of commercials from large corporations, and participate in social media. Human beings are communicating, organizing creatures, and we define ourselves largely through our various organizational memberships and communicative connections.

As simple as this assertion is, it hides a rather complex reality. The organizations that define who we are—and our relationship to them—have become increasingly complicated. Indeed, as systems of communication, we largely take for granted organizations and their role in our lives. We’re like the two young fish that one day pass an older fish. The older fish says to them, “Mornin’, boys. How’s the water?” After he has swum away, one young fish turns to the other and says, “What’s water?” Communication and organizations are both a bit like water—we navigate them without really paying much attention to how fundamental they are to our daily lives.

One purpose of this book, then, is to provide you with a map to navigate the water we all swim in and to figure out the complexities of organizational communication processes. In part, we will be exploring different theories and management perspectives and discussing their strengths and limitations, similarities and differences. But each perspective is more than just an abstract theory that has little to do with the “real world.” In many ways, each of them has profoundly shaped the organizational world in which all of us are deeply enmeshed. Indeed, I would suggest that each of these perspectives has, in different ways, shaped who we are as people—a grand claim, I know, but one we will unpack in detail as we move through this book.

In order to lay the groundwork for this claim I want first to identify a common theme that runs throughout these theories—a theme that bears directly on my claim and that will serve as a basic construct in our attempt to understand organizational communication processes. This is the theme of organizational control. As a starting point we can define organizational control as “the dynamic communication process through which organizational stakeholders (employees, managers, owners, shareholders, etc.) struggle to maximize their stake in an organization.” In this book, then, we will examine organizations as communicative structures of control. Let’s

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explore this focus in more detail below.

ORGANIZATIONS AS COMMUNICATIVE STRUCTURES OF CONTROL

In discussing the various theories that have emerged in the fields of management and organizational communication over the past 100 years or so, we will explore how, at its core, each theory is motivated by the problems associated with controlling large numbers of people in specific settings. Beginning in the late 19th century, as capitalism became the dominant economic system, the new corporate organization and its employees became a focal point of study for social scientists in various academic fields. For more than 100 years, researchers have developed various ways of explaining how people can be motivated to come together to perform specific tasks when, more often than not, they would rather be somewhere else doing something different. Such has been the centrality of this problem for social scientists that sociologist Charles Perrow (1986) has claimed, “The problems advanced by social scientists have been primarily the problems of human relations in an authoritarian setting” (p. 53).

This problem of “human relations” in organizations is a complex one, as we will see in the course of this book. One of the defining features of an organization is that it coordinates the behavior of its members so they can work collectively. But while coordination is a nice concept in theory, it is surprisingly difficult to achieve in practice. Particularly in for-profit organizations (where most people work), a number of factors work against the perfect coordination of a large number of people. One of the most important factors is the tensions between the goals, beliefs, and desires of individual organization members and those of the larger organization (see Table 1.1). Because these goals often conflict, they have to be resolved in some way. Telephone company executive Chester Barnard (1938) was among the first to recognize that the way this fundamental tension, or conflict, is usually resolved is by subordinating the goals and beliefs of individual organization members to those of the larger organization.

Table 1.1 Some Tensions Between Individual and Organizational Goals, Values, and Needs

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In this context, the issue of control becomes central. All organizational and management theories address the individual–organization tension in some way. As such, all organizational theories implicitly pose the question, “How do we get organization members to engage in behavior that they may not spontaneously engage in and that may even be contrary to their best interests?” In other words, “How can we exercise control over employees and get them to function in a coordinated manner?” In many ways, the history of management thought is the history of efforts to develop more and more sophisticated answers to this question. One of the earliest social scientists to focus explicitly on the issue of organizational control was Arthur Tannenbaum (1968), who stated:

Organization implies control. A social organization is an ordered arrangement of individual human interactions. Control processes help circumscribe idiosyncratic behaviors and keep them conformant to the rational plan of organization. … The co-ordination and order created out of the diverse interests and potentially diffuse behaviors of members is largely a function of control. (p. 3)

However, organization members are not simply passive recipients of control mechanisms, blithely accepting each new form of control as it is implemented. On the contrary, the history of management thought is also a history of struggle, as employees have individually and collectively resisted management efforts to limit their autonomy in the workplace (Fleming & Spicer, 2007). In this sense, we will examine control as a dialectical process. That is, control is never a linear, cause- and-effect phenomenon (like one billiard ball hitting another) but is complex and ambiguous; organizational control mechanisms often produce creative employee responses that produce unintended outcomes for the organization. For example, corporate efforts to engineer organizational culture and instill certain values in employees are sometimes hijacked by employees for their own ends, or else employees create their own countercultures in the organization, rejecting the values communicated by management (e.g., Ezzamel, Willmott, & Worthington, 2001;

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Smith & Eisenberg, 1987). Before we can examine these different organization theories through the lens of

control, however, we need to do two things. First, we need to develop a coherent and clear notion of what organizational communication means. Second, we must develop an overarching framework that allows us to compare the competing perspectives that make up the field of organizational communication. Such perspectives are not conjured out of thin air by scholars and practitioners but emerge out of particular and long-standing research traditions, each with its own agenda. As this book unfolds, we will see that all the research traditions in organizational communication are at least partially explicable in terms of the particular social, political, and economic conditions of the time in which they emerged.

DEFINING “ORGANIZATIONAL COMMUNICATION”

One of the problems in defining the term organizational communication is that we are dealing with two phenomena—organization and communication—that are, individually, extremely complex. Placed in a dynamic relationship with each other, the level of complexity increases greatly. W. Charles Redding (1988)—widely regarded as the founder of the field of organizational communication—provides us with a useful starting point for defining organization. While acknowledging the difficulty of providing any universal definition, he argues that all complex organizations (i.e., social structures large enough to make face-to-face communication among all members impossible at all times) exhibit the following four essential features: (1) interdependence, (2) differentiation of tasks and functions, (3) goal orientation, and (4) control. Surprisingly, Redding does not include communication as a specific feature, so our fifth defining characteristic of complex organizations is communication processes. We will discuss each of these features in detail.

Interdependence

Organizations exhibit interdependence insofar as no member can function without affecting, and being affected by, other organization members. All complex organizations consist of intricate webs of interconnected communication activities, the integration of which determines the success or failure of the organization. Universities, for example, consist of complex webs of students, faculty, departments, schools, staff, and administrators, each group shaping and being shaped by all the others. While students may seem to be the group with the least agency (i.e., ability to influence others), they nevertheless heavily shape the

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behavior of the other groups (e.g., by making courses popular or unpopular through enrollment), especially given their role as the primary “customers” of universities.

As organizations have become increasingly complex and global in the past 20 or 30 years, interdependence has become an even more significant and defining feature of organizational life. Many large organizations depend on a complicated array of subsidiaries, outsourcing processes, communication technologies, and leveraged financial structures in order to flourish. Any change in one aspect of this complex system of interdependence can create changes in the entire system. As we saw in 2008, the collapse of several financial institutions had a profound effect not only on the employees of those institutions but on almost everyone in the world, as the global economy went into recession as a result of these failures. The concept of interdependence will be explored in more detail in Chapter 5 on systems theory.

Differentiation of Tasks and Functions

All organizations, however large or small, operate according to the principle of division of labor, in which members specialize in particular tasks and the organization as a whole is divided into various departments. As the 18th century economist Adam Smith illustrated through his description of pin manufacture, many more pins can be produced when the manufacturing process is divided into many specialized tasks than if all the tasks are performed by a single individual (Smith, 1776/1937). This feature of organizations truly came into its own in the late 19th and early 20th centuries with the introduction of scientific management principles into most large organizations (Taylor, 1911/1934)—a perspective we will examine in detail in Chapter 3. While the emergence of the “postbureaucratic” organization (see Chapter 8) and job enrichment has somewhat modified this principle, it is still as applicable to today’s organizations as it was 200 years ago and remains a basic feature of modern capitalism. Anyone who has worked on a production line or in a fast-food restaurant (e.g., Subway, Taco Bell, McDonald’s, etc.) will be well aware of this principle.

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© iStockphoto.com/gerenme

The control of employees has been a focus of management research for more than 100 years.

Goal Orientation

Organizations, whether nonprofit or for profit, are oriented toward particular goals. Indeed, one could argue that the goals of an organization are what provide it with its particular character, coalescing its members into something more than a random group of individuals. Barnard (1938) makes this goal orientation explicit in his definition of an organization: “An organization comes into being when (1) there are persons able to communicate with each other (2) who are willing to contribute to action (3) to accomplish a common purpose” (p. 82). Universities have education and research as their overarching goals; for-profit companies aim for excellence in their products and, thus, a large market share.

Of course, organizations often have multiple and competing goals, making Barnard’s idea of a “common purpose” a complex one. Within a large software company, for example, there may be conflict between the respective goals of the research and development (R&D) and marketing departments. The former might want to spend extra months perfecting a new software program, while the latter might be more interested in getting it to customers quickly and working the bugs out in later versions.

Sometimes company goals can conflict with those of other interest groups, such as community members, employees, or shareholders. In its goal to increase profits,

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a company might pollute the environment, lay off workers, overlook safety regulations (think BP and deep sea oil drilling) or move its production facilities to countries where labor is cheaper. In recent years shareholder groups have increased their power in publicly traded organizations; in consequence, the “quarterly report” has become a key marker of corporate success, with significant pressure on organizations to produce quick results. In her study of Wall Street investment banking, anthropologist Karen Ho (2009) shows how increased shareholder power has caused many corporations to move away from long-term planning and toward short-term returns on investment—a shift that has had negative consequences for the stability of the economy.

Control Mechanisms

Control is a central, defining feature of complex organizations. As we discussed earlier, the goals and interests of employees and the larger organization frequently conflict, and so various forms of control are necessary to achieve coordinated, goal-oriented behavior. Organizational control is not, by definition, problematic; however, it can often have negative consequences for employees, as we will see below and in later chapters. While Redding presents two forms of control (hierarchy of authority and rules, plans, and roles), I will outline five different control mechanisms that function in the contemporary organization.

Direct Control

The simplest way to control employees is to direct them in explicit ways and then monitor their behavior to make sure they are performing adequately. As such, many organizations function through superior–subordinate relations, where the former has the authority to coerce the latter into working in specific ways. Since the beginning of the industrial revolution, supervisors have been employed to make sure that workers diligently perform their tasks rather than take long breaks or talk to coworkers. As we will see in Chapter 3, in the early stages of industrialization such coercive forms of control were deployed to direct workers who were not used to working in factory settings where “clock time” ruled.

Such close supervision, however, is hardly a relic of 19th and early 20th century factories. Many of you have probably had jobs where your work was closely monitored by a supervisor. In their cleverly titled book, Void Where Prohibited, Linder and Nygaard (1998) document restrictions on factory workers’ rest and toilet breaks, arguing that such restrictions are more widespread now than they were in the early 20th century. The authors even document cases of workers wearing adult diapers on the production line because of the company’s tight

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restrictions on toilet breaks! In one high-profile case, the Jim Beam company was cited for violating Occupational Safety and Health Administration regulations, when in 2001 the company implemented a policy severely restricting the time and frequency of employee toilet breaks. Direct supervisory control of workers, then, is still very much a feature of the modern organization.

Technological Control

A somewhat less direct form of control is exercised on employees through various kinds of organizational technology (Edwards, 1979). Such technology usually controls both the kinds of work people do and the speed at which they work. Henry Ford’s introduction of the moving production line in automobile manufacturing in 1913 is the classic example of such control. From a management perspective, this form of control has the dual benefit of being able to dictate the workers’ rate of production and also confining the worker to a particular location (thus limiting the worker’s ability to socialize with other workers).

As our economy has shifted from heavy production to a service economy, the forms of technological control have changed. The fast-food industry is a good example of a modern form of technological control, where computer technology carefully regulates (down to the second) every task performed by the employee. At McDonald’s, for example, even the dispensing of soda is controlled to make sure exactly the right quantity is released into the cup—the employee has no room at all to exercise discretion (Ritzer, 2000).

In our increasingly service-oriented economy, customers, too, are subject to technological control. In fast-food restaurants, hard seats encourage customers to “eat and run,” and menu items are placed in highly visible locations so the customers are ready to deliver their orders as soon as they arrive at the head of the line (Leidner, 1993). In addition, customers are “trained” to line up to place orders and to bus their own trays in order to increase efficiency and productivity. Airport check-in is now mostly self-service, with customers doing the work that used to be done by airline employees—a significant cost savings for the airlines. And many companies (e.g., AT&T and Comcast) are now using online customer discussion forums that enable customers to solve technical problems for each other, thus significantly reducing customer service expenses (Manjoo, 2011).

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Thinkstock Images/Comstock/Thinkstock

Technological forms of control often shift work from employees to customers as a way to increase efficiency and profitability.

Finally, technological control in the form of electronic surveillance is widespread in organizations. With such technology, employees can never be certain when they are being monitored and thus are forced to behave at all times as if they are under surveillance. The philosopher Michel Foucault (1979) has referred to this form of control as panopticism, after the Panopticon—a prison designed by the 19th century utilitarian thinker Jeremy Bentham. Bentham’s prison was designed in a circular fashion so a guard in the central watchtower could observe all the prisoners without being visible himself. As such, the prisoners engaged in a form of self-policing. People working in telemarketing, for example, are subject to such surveillance by an invisible supervisor who can eavesdrop on their calls. Similarly, employees doing data-entry jobs often have their keystrokes counted, allowing employers to collect data on their productivity remotely. (See Critical Technologies 1.1 for more on communication technology.)

Critical Technologies 1.1 Defining Communication Technology

In each chapter of this book you will find a text box such as this one that highlights the critical role of communication technologies in organizational life. What is a communication technology (CT)? We will use a broad conception, defining it as anything that mediates and alters the user’s

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relationship to the world. In this sense, CT is not just a tool for the transmission of information but actually shapes our experiences and sense of reality. Put another way, CTs embody a certain kind of human subjectivity and extend our relationship to the world through that subjectivity. In this book, then, we will use a social constructionist, meaning-centered approach to CT, examining the dynamic relationships among CTs, human identities, and organizational communication processes.

While we think of CT as generally being electronic, it is not necessarily so. For example, glasses are a form of CT, altering an individual’s relation to the world by enabling him or her to see objects and people not otherwise visible. The invention of the microscope brought a whole new world into view that was not previously known to exist. Thus, both glasses and microscopes are early examples of technologies that change and extend our subjectivities, altering our relationship to the world and, indeed, the world itself.

One’s view of CT depends in part on the perspective one adopts. A functionalist might focus on ways a particular CT can increase organizational efficiency. A critical approach to CT would highlight the ways in which technologies shape organizational power relations. Finally, a feminist perspective might examine how a particular CT has a “gendered” effect on organizational communication processes. For example, critical scholars have studied the use of CT in computerized call centers, examining the dynamic relationship between managerial efforts to control workers through strict routines and employee efforts to resist such control efforts and exercise more workplace freedom (e.g., Taylor & Bain, 2003). A functionalist, or management-oriented approach, on the other hand, would likely focus on how such technology can increase the efficiency of call processing and reduce the “downtime” employees experience.

In future chapters we will use these text boxes to critically examine the various ways in which particular CTs have had a significant impact on organizational life.

Bureaucratic Control

Despite a shift away from bureaucratic organizational forms toward more flexible, less formal structures, bureaucratic control is still common in many organizations (Edwards, 1979). As we will see in Chapter 3, the bureaucratic form is a central— perhaps defining—feature of Western democratic societies, enabling organization members to gain advancement on merit rather than based on one’s connections. As a form of control, organizational bureaucracy exists as a system of rules, formal

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structures, and roles that both enable and constrain the activities of organization members. Concerns about bureaucratic “red tape” aside, bureaucracy can be a highly effective means of coordinating and controlling organizational activity (Du Gay, 2000; Perrow, 1986). For example, the smooth running of your day on campus as you move from class to class would be impossible without an efficient bureaucratic system that carefully coordinates the schedule—timed to the minute— of every single student and faculty member. In this sense, organizational life is unimaginable without at least some level of bureaucracy.

Ideological Control

Ideological control refers to the development of a system of values and beliefs with which employees are expected to identify strongly. From a management perspective, the beauty of ideological control is that it requires little direct supervision of employees. Instead, if employees have been appropriately socialized into the organization’s system of beliefs and values, then they should have internalized a taken-for-granted understanding of what it means to work in the best interests of the organization.

In many respects, the “corporate-culture” movement that first emerged in the 1980s (see Chapter 6) represents an attempt by companies to exert ideological control over employees (Peters & Waterman, 1982). Companies often carefully vet potential employees to make sure they “fit” the culture, and then make explicit and carefully calibrated efforts to indoctrinate new employees through training programs such as “culture boot camp.” For example, Disney employees are put through an intensive training program where they learn how to maintain the seamless fantasy that is the hallmark of Disney theme parks. Disney keeps a tight rein on its corporate culture; indeed, the Disney employee handbook even dictates the appropriate length and style of sideburns! Similarly, companies such as IBM, Whole Foods, and Southwest Airlines are recognized for their distinctive cultures. The success of Southwest as a low-cost airline has been attributed in no small part to management’s cultivation of a culture of fun amongst employees at all levels (Freiberg & Freiberg, 1996).

While this form of control can be an effective means of creating an engaged, energized workforce, it can also be quite oppressive to many organization members, particularly as it often asks the employee to invest his or her very identity, or sense of self, in the company. However, it is a form of oppression that is often disguised as something else—for example, being a “team” or “family” member. Employees who don’t fit with the culture may feel alienated from their work. Management scholar John Van Maanen’s (1991) account of his experience working at Disneyland is a great example of someone who resists the ideological control to which he is subjected—and loses his job as a result!

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Disciplinary Control

Disciplinary control has emerged relatively recently as organizations have shifted from hierarchical, bureaucratic structures to flatter, decentralized systems of decision making. While ideological control is still, in many respects, top-down— with management attempting to impose a particular culture and value system on employees—disciplinary control is distinguished as a “bottom-up” form of control that focuses on employees’ own production of a particular sense of self and work identity.

Disciplinary control has emerged as the relationship between organizations and employees has shifted away from the post-World War II social contract of stable, lifetime employment and toward “free agency” and a climate of much greater instability in the job market. This instability is reflected not only in people’s high mobility in the job market but also in the fact that “the self” (the identity of each employee) has become a project each individual must constantly work on. Because the project of the self is never finished and must be continuously monitored and improved (in order to meet an ever more competitive work environment), people live in a perpetual state of anxiety about the value of their individual “brand.” Thus, individuals constantly engage in forms of self- discipline in which the creation and continual improvement of an “entrepreneurial self” is the goal (Holmer Nadesan & Trethewey, 2000).

Think, for example, about your own day-to-day lives as college students. With adjustment for your own particular college context, I imagine that many of you have schedules similar to the ones reported by journalist David Brooks (2001) in an article called “The Organization Kid,” in which he interviewed students at Princeton University: “crew practice at dawn, classes in the morning, resident- adviser duty, lunch, study groups, classes in the afternoon, tutoring disadvantaged kids in Trenton, a cappella practice, dinner, study, science lab, prayer session, hit the StairMaster, study a few hours more.” Brooks indicates that some students even make appointments to meet with friends, lest they lose touch. Does this kind of daily schedule sound familiar to you?

Brooks’s point is that students willingly (and happily) pursue these punishing schedules because they see it as necessary for the continual process of career advancement; they are basically spending 4 years as professional, goal-oriented students whose goal is continuous self-improvement. I suspect that a high percentage of you are engaged in precisely this kind of self-disciplinary activity in an effort to distinguish yourselves from one another and make yourselves marketable to potential employers.

In disciplinary forms of control, then, the individual is both the subject (autonomously making his or her own decisions and choice of goals) and object (the target of both self-discipline and corporate and other institutional efforts to

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shape identity) of knowledge. That is, control is exercised through “the constitution of the very person who makes decisions” (Fleming & Spicer, 2007, p. 23). Following the work of French philosopher Michel Foucault (1979, 1980b), control (or power, as he calls it) does not limit people’s options or oppress them but, rather, creates the very conditions of possibility in which we act. We see ourselves, for example, as career-oriented, not because humans are “naturally” predisposed to having careers (after all, the idea of a “career” is a pretty recent historical phenomenon) but because there are numerous societal discourses, bodies of knowledge, and experts (who create bodies of knowledge) that construct us as career-oriented (think about the shelves full of books giving “expert” advice on career success at any bookstore, all of which claim to have the answer). As such, we become our own entrepreneurial project in which “career” is a defining construct around which life decisions are made.

To understand these five forms of control, it is important to keep three points in mind. First, many organizations use multiple forms of control. For example, an employee might be subject to direct control and bureaucratic control, and be heavily indoctrinated into the company’s ideology. Furthermore, while analytically distinct, these forms of control overlap in practice in the workplace—technological control in the form of employee surveillance, for example, may result in employees engaging in forms of self-discipline that render the technology unnecessary.

Second, these forms of control operate with decreasing levels of direct coercion and increasing levels of participation by employees in their own control (control by active consent, if you will). Thus, direct control is the most coercive (telling someone exactly what to do), while disciplinary control is the least coercive (autonomous employee behavior and decision making). However, the development of less explicit and coercive forms of control does not mean that control is no longer an important issue in daily organizational life. Indeed, the development of more sophisticated forms of control suggests a greater need to understand the everyday dynamics of such control and its impact on the lives of organization members (i.e., you and me).

Third, the increasingly sophisticated forms of organizational control require a similarly sophisticated understanding of the role of communication in these control processes. Direct control relies on a simple understanding of how communication works (a message is transmitted from A [supervisor] to B [employee], instructing him or her how to behave), while ideological and disciplinary forms of control depend on a view of communication as complex and central to the construction of employee identities and organizational meaning systems—issues that figure prominently in this book. To get a better sense of this, let’s now turn to a brief discussion of communication and its relation to organization.

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Communication Processes

Clearly, communication is an important and defining feature of organizations. The fact that this book is called Organizational Communication strongly suggests that the terms organization and communication are closely linked. Indeed, the position we will take in this book is that communication constitutes organization—an idea referred to by some organizational communication scholars as the “CCO” approach to organizations (Ashcraft, Kuhn, & Cooren, 2009; Cooren, 2000; Putnam & Nicotera, 2008). Put simply, this means that communication activities are the basic, defining “stuff” of organizational life. Without communication, organizations cease to exist as meaningful human collectives. In this sense, organizations are not simply physical containers within which people communicate; rather, organizations exist because people communicate, creating the complex systems of meaning that we call “organizations.”

Similarly, the communication activities of organization members are both made possible and constrained by the institutionalized rules and structures that organizations develop over time (Giddens, 1979). A useful way of thinking about organizations is to view them as complex patterns of communication habits. Just as individuals develop habitual, routine behaviors that enable them to negotiate daily life, so large groups of people develop patterns of communication behavior that enable coordination and collective, goal-oriented activity. A meeting, for example, is a communication phenomenon that is meaningful precisely because it is structured around rules for what counts as a meeting (and which differentiate it from a casual hallway conversation).

Although there are multiple definitions and conceptions of communication, in this book we will adopt a “meaning-centered” perspective, viewing communication as the basic, constitutive process through which people come to experience and make sense of the world in which they live. In other words, communication does not just describe an already existing reality but actually creates people’s social reality. For example, organization members who talk about themselves as a “family” create a quite different social reality from that of an organization where a “machine” metaphor is dominant and organization members see themselves simply as cogs in that machine (Smith & Eisenberg, 1987).

From such a perspective, we can define communication as follows: the dynamic, ongoing process of creating and negotiating meanings through interactional symbolic (verbal and nonverbal) practices, including conversation, metaphors, rituals, stories, dress, and space. As we will see in later chapters, this definition is not accepted by all theories of organizational communication. However, it provides a useful benchmark against which we can examine and critique other perspectives.

Following from the above definition of communication, we can define

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organizational communication in the following way: the process of creating and negotiating collective, coordinated systems of meaning through symbolic practices oriented toward the achievement of organizational goals. Again, this definition attempts to capture the dynamic relationship between communication and organization, showing how each produces, and is produced by, the other. While the exact nature of this relationship may be a little fuzzy at the moment, we will continue to return to it throughout the book.

Having identified the main features of the phenomenon that is the subject of this book, we now need to develop a framework from which to examine the various approaches to organizational communication. In the next section of this chapter we will develop this framework in some detail.

FRAMING THEORIES OF ORGANIZATIONAL COMMUNICATION

In order to be able to compare different perspectives on organizational communication, we will develop a metatheoretical framework—in other words, a “theory about theories”—that allows us to examine the underlying assumptions on which different theories are based. For example, what assumptions does a particular theory make about how we come to know things (epistemological assumptions)? What assumptions does a theory make about the nature of reality (ontological assumptions)? What assumptions about communication does a particular theory make? Scholars have developed a number of frameworks, each of which has utility in providing a coherent picture of the connections and differences amongst the various research traditions (Burrell & Morgan, 1979; Deetz, 2001; Krone, 2005).

However, the central organizing principle of my framework is the notion that we are living in an age characterized by a “crisis of representation” (Jameson, 1984). This phrase can be understood at two levels. First, the idea of “representation” refers to knowledge claims that researchers in various disciplines make about the world. In this context, the term has an epistemological dimension (that is, how we come to know things), reflecting some scholars’ belief in the possibility of making knowledge claims that accurately reflect, or represent, an objectively existing world. Such a view of knowledge is dominant in the social sciences. The notion of a “crisis” thus reflects the recent emergence of challenges to this dominant model. In the past 30 years or so, multiple and competing ways of knowing have arisen, with each one setting out alternatives to the representational model.

Second, the notion of “representation” can be understood to refer to the issue of “voice.” That is, which groups in our society have the opportunity and resources to

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speak and to represent their own interests and the interests of other groups? This issue has become increasingly complex as society has become more diverse. In the 1950s life was apparently much simpler. Shows such as Leave It to Beaver and Father Knows Best portrayed a homogeneous national culture with clearly defined values and social roles. In this vision, divorce was almost unheard of, everyone lived in the suburbs, and dad was the all-knowing authority figure who could solve any problem and who had a steady office job that supported the whole family. Mom, of course, was the nurturing housewife who was ready with pipe, slippers, and a home-cooked meal when dad came home from work.

Not only did such a life really exist only in its “ideal” form on TV, but its existence also was rooted in fundamental inequalities. The 1950s was a time of national stability and prosperity for a fairly small segment of the U.S. population— basically, white males. Simply by virtue of their race and/or gender, large segments of the population were denied any voice or even basic human rights such as employment and educational opportunities. The civil rights and feminist movements not only created opportunities for previously disenfranchised groups but also helped shape a worldview in which issues of identity and difference became central. Thus, with the emergence of challenges to a single (white, male) vision of society, various groups began to voice their own visions of the social order that fundamentally rewrote previously accepted premises about what is good, right, and possible. For example, gay rights organizations have challenged dominant definitions of “family,” and the feminist movement has helped change long-held beliefs about women’s roles in society.

Clearly, the two conceptions of “representation” discussed here are related. As the issue of “voice” has become more complex in the 21st century, so, too, have epistemological issues regarding what counts as acceptable knowledge claims. Where the scientific method once reigned supreme as the tried and tested way to generate universal knowledge, we now have competing perspectives and theories that aim to capture the richness and complexity of human social activity in ways the scientific method cannot.

How does this discussion of the “crisis of representation” relate to my attempt to lay out a useful framework for understanding theories of organizational communication? One way of thinking about the competing worldviews in the social sciences is to see them as presenting increasingly complex challenges to the representational model of knowledge discussed above. Below, I discuss five such worldviews. Each represents a progressive deepening of the “crisis of representation” in the social sciences generally and, more important for us, in the field of organizational communication.

For our purposes I will call these perspectives discourses. This term captures the idea that any worldview is made up of a community of scholars who communicate with one another about their research and debate the strengths and

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weaknesses of the theories they develop. The French philosopher Michel Foucault (1972, 1980b) uses the term discourse to describe a system of possibilities for the creation of knowledge. That is, what are the rules of a particular discourse that regulate what counts as a legitimate knowledge claim?

The five discourses I discuss are the following:

1. Functionalism: a discourse of representation 2. Interpretivism: a discourse of understanding 3. Critical theory: a discourse of suspicion 4. Postmodernism: a discourse of vulnerability 5. Feminism: a discourse of empowerment

Each of these discourses takes a particular relationship to what is called the modernist tradition. Broadly speaking, modernism refers to both a historical epoch and a way of thinking in which science, rationality, and progress are the dominant themes. Inspired by Enlightenment thought as represented in philosopher Immanuel Kant’s Latin injunction, “Sapere Aude” (“Dare to Know”), modernism is a period in which myth and superstition give way to the idea that each individual, through rational thought, can come to understand the world.

Science represents the pinnacle of modernism in its development of human rational faculties, leading to emancipation from the constraints of the natural world. In the 19th century, the Industrial Revolution and the emergence of the human sciences (sociology, psychology, etc.) are seen as further evidence of the positive effects of modernism on the human condition. Indeed, modernist principles are at the root of Western-style democratic principles. For example, Jean-Jacques Rousseau’s “Declaration of the Rights of Man” (which helped inspire the French Revolution in 1792) embodies the notion that each individual has the right to liberty, regardless of his or her station in life. Such a concept was unthinkable in premodern societies, where authority rested with priests and kings by virtue of their God-given right to rule, and everyone was born into a social status that they occupied “naturally” for their entire lives.

Modernism, then, fundamentally altered humans’ relationship to the world. Some scholars even argue that modernism is where the very notion of the individual as a rational, thinking being came into existence (e.g., Foucault, 1973). Moreover, the organization as an institutional form is very much a product of modernism; the organization as a bureaucratic structure was the mechanism that helped institutionalize modernist ways of thinking and enabled industrial capitalism to flourish.

Below, I discuss each discourse in greater detail, identifying the model of communication embodied in each.

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Functionalism: The Discourse of Representation

This discourse embodies the basic modernist principles in the most straightforward, unproblematic way. The practitioners of this discourse believe that progress and emancipation can best be achieved through a process of discovery, in which the application of scientific principles gradually and progressively illuminates the world for us. This is the dominant discourse in the social sciences today, in which the researcher conducts carefully controlled experiments in order to make causal claims about human behavior. In literature, Sir Arthur Conan Doyle’s character Sherlock Holmes is the perfect embodiment of these principles, employing his powers of observation and deduction to solve crimes. The Sherlock Holmes stories were written in the late 19th century, precisely at the time when the idea of Science as the way to Truth and a Better Life was taking a strong hold on society.

In organizational communication, much of the research over the past several decades has been dominated by this discourse. Certainly, early management theories such as scientific management, bureaucracy, and human relations theory were built on the principles of functionalism. In addition, much contemporary research into topic areas such as leadership (Barrett, 2011; Eagly & Johannesen- Schmidt, 2001; Yukl, 2006), superior–subordinate communication, organizational socialization (Jablin, 2001), and communication technology draws on this discourse. The goal in such research is to make predictive and generalizable claims about human behavior in organizations. For example, in her research on the relationship between gender and leadership, psychologist Alice Eagly is concerned with trying to measure quantitatively, and make generalizable claims about, the differences and similarities between male and female leaders in organizations.

What assumptions about communication are embedded in this discourse? True to the discourse of representation, communication is conceived as the means by which internal ideas are externalized. In this sense, communication is a vehicle, or conduit, through which thoughts and knowledge about the world can be expressed and shared. Thus, communication about the world and the world itself are two separate entities.

These assumptions are best exemplified by Shannon and Weaver’s (1949) widely cited mathematical model of communication. As researchers for Bell Telephone Laboratories, Shannon and Weaver were interested in developing highly efficient systems for transmitting information from senders to receivers. As they state, “The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point” (p. 3). But because Shannon and Weaver were engineers, they defined communication largely as an engineering problem, having to do with the relationship amongst such issues as information, noise, channel capacity, and redundancy. Thus, although their

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model does not do a good job of representing actual face-to-face social interaction, it was for a long time dominant in various areas of communication research. Even today, although frequently criticized by scholars (e.g., Smith, 1970), it still dominates everyday understandings of how communication works.

Management scholar Stephen Axley (1984) has effectively illustrated some of the assumptions of this conduit model, along with its negative consequences for organizational communication processes (see Critical Case Study 1.1). For example, the conduit model ignores significant communication issues such as (1) the potential ambiguity of meaning in all communication acts, (2) the communication by speakers of unintentional meanings, (3) the role of receivers creating the meaning of any communication act, and (4) the need for redundancy in making sure messages are understood by others. In fact, Axley makes a strong case that the conduit metaphor lulls us into the belief that communication is a fairly easy and unproblematic activity that requires little effort. This “success-without-effort” orientation can have severe repercussions in organizations, where the degree of complexity of structures and meaning systems makes good communication a priority. When communication is conceived as relatively effortless and simple, then it is frequently overlooked as the cause of organizational problems. Or, when managers do identify “communication problems” in organizations, they frequently apply overly simplistic solutions that overlook the complexity of the communication process.

Interpretivism: The Discourse of Understanding

The interpretive discourse provides an alternative to the representational discourse of functionalism. While interpretivism has had an impact on organizational communication research only in the past 30 years, its roots are much older. Sometimes referred to as social constructionism, this perspective sees a direct relationship between communication processes and who we are as human beings. In other words, rather than viewing communication simply as a conduit, or vehicle, for expressing already formed ideas about an objective world, interpretivism sees communication as actually constituting that world. An example of this interpretive perspective is the CCO (communication constitutes organization) theory of communication mentioned earlier in the chapter.

Critical Case Study 1.1 A Conduit Model of Education

In a very real sense, how we think about communication has consequences

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for how we behave and communicate with others. Stephen Axley (1984) illustrates this powerfully in an argument regarding the dominance of the “conduit metaphor” in organizations. Following linguist Michael Reddy, Axley suggests that everyday talk about communication is dominated by an information transmission model that operates according to four implicit assumptions: (1) Language transfers thoughts and feelings between people, (2) speakers and writers insert thoughts and feelings into words, (3) words contain those thoughts and feelings, and (4) listeners and readers extract those thoughts and feelings from the words (p. 429). This model is implicit in everyday expressions such as, “He couldn’t get his ideas across” and “She tried hard to put her thoughts into words.” Let’s look at the consequences of this model for the education process.

In U.S. colleges and universities, there is an increasing tendency toward large classes with enrollments of 400 to 500 students. The educational principles embedded in this tendency operate according to a conduit, transmission model of communication. Large class sizes mean that any interaction between professor and students is highly limited, with the dominant discourse being a monologue by the professor. In keeping with this monologue, students view themselves as the passive recipients of information transmitted by the professor. Knowledge consists of information inserted into words and transmitted from the professor’s mouth to the students’ brains, with lecture notes operating as the repository of such information. Professors try to ensure effective transmission of information by introducing redundancy into the system via the use of PowerPoint, repeating main issues, creating podcasts, putting lectures on iTunes, and so forth.

But the conduit model completely undermines any conception of education as an active and dynamic process in which students and professors engage in dialogues about interpretive possibilities. With pedagogy reduced to the transmission of hard, nonnegotiable facts, we are unable to recognize the extent to which knowledge production is actually a highly contested, contingent, and ever-changing process. The unhappy result is that by the time students do finally get to participate in classes of 20 or 30 (usually in their senior years) they have become little more than efficient note takers. They simply want to know what the Truth (at least in test-taking terms) is so they can write it down. Many students have thus developed a “trained incapacity” in which they apply a monologic model to a dialogic context.

Moreover, one might argue that the dialogic model is inefficient and unproductive in a context where students have become professional self- entrepreneurs who view education as a means to improving their personal “brand equity.” The knowledge acquired in courses is useful only if translated into a stellar GPA and well-rounded transcript.

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Discussion Questions

1. In groups or individually, develop a definition of communication. In what sense is it similar to or different from the conduit model of communication?

2. To what extent has your experience of college education been similar to the one described here? How has it been different?

3. If you were to create the ideal educational environment, what would it look like? Identify some principles of organizational communication discussed in this chapter that might help you formulate this ideal.

4. Which of the knowledge discourses discussed in this chapter is helpful in informing your understanding of how the educational process operates?

5. Do you agree or disagree with the view of today’s students as discussed under “disciplinary control”? Why or why not? How would you describe your own student identity?

As you can perhaps see, this alternative perspective complicates the dominant representational model of human behavior. If communication constitutes human identity and reality, then we can no longer easily separate self, other, and world on the one hand and communicating about those things on the other hand. Suddenly, the representational model of knowledge is not quite as unproblematic as it at first appeared to be. No longer is there an objective Truth “out there” waiting to be discovered. Instead, human beings create realities as they interact together. Thus, the belief in predictive, generalizable models of human behavior gives way to a concern with generating deep understandings of the ways in which humans create complex systems of meaning. The philosopher Hans-Georg Gadamer (1989) encapsulates this view of language and communication when he states, “Language is not just one of man’s possessions in the world; rather, on it depends the fact that man has a world at all” (p. 443).

The interpretive discourse, then, claims a close connection between communication and social reality—a view that has had a profound influence on the field of organizational communication over the past 30 years. Most significantly, there has been a shift from viewing communication as something that occurs within organizations to seeing communication as a dynamic process that actually creates organizations (Putnam & Pacanowsky, 1983). This is best illustrated in the emergence of a body of research referred to as “organizational culture” studies. We will be devoting Chapter 6 to this research, but it is worth briefly mentioning here to demonstrate the influence of the interpretive perspective.

The study of organizations as “cultures” has focused heavily on the everyday

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behavior of organization members, showing how their ordinary communicative practices are the basic “stuff” of what organizations are. In other words, such mundane communication events are seen as constituting organizations. Thus, researchers study phenomena such as stories (Boudens, 2005; Humphreys & Brown, 2002; Phillips, 1995; Trujillo & Dionisopoulos, 1987), rituals (Trice & Beyer, 1984), metaphors (Smith & Eisenberg, 1987; Tracy, Lutgen-Sandvik, & Alberts, 2006), and workplace humor (Lynch, 2002; Rhodes & Westwood, 2007). In each case, these communication activities are seen as fundamental to how organization members collectively shape their social reality. Furthermore, researchers in this tradition tend to reject quantitative methods in favor of qualitative forms of research, including oral interviews and participant-observation studies (where the researcher becomes a member of the organization being studied). Here, the goal is to allow organization members’ own understanding of organizational life to come to the fore, rather than imposing predetermined categories on members’ attitudes and behaviors.

In a study of Disneyland, for example, Ruth Smith and Eric Eisenberg (1987) use oral interviews to show how managers and employees use competing metaphors to characterize their understanding of Disneyland as a place to work. The authors argue that the competing metaphors of Disneyland as a “drama” (held by managers) and as a “family” (held by employees) lie at the root of an industrial dispute that threatens to tear apart the carefully cultivated image of Disneyland as “the happiest place on earth.” One of the most interesting features of this study is that it shows how these metaphors are not just ways of talking about life at Disneyland (a representational view) but are fundamental to the shaping of employee identity and experience (an interpretive view). Thus, employees do not just talk about Disneyland as a family organization but actually experience it through this symbolic structure.

From the interpretive perspective, then, the real world is a symbolic world, and those symbols allow us to live a meaningful, coherent existence. Indeed, many interpretivists would argue that the symbolic world is the only world we can possibly know—we have no direct access to the world around us, which is always mediated by language, symbols, and communicative practices. Similarly, organizations are viewed not as structured containers within which communication (as information transfer) occurs but, rather, as communication phenomena that come into being through the everyday communication practices of their members.

Critical Theory: The Discourse of Suspicion

Like the interpretive approach, the critical perspective views reality as a product of the collective communication practices of social actors. Where it differs,

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however, is in its focus on the role of power, or control, in the process of reality construction. Critical theorists believe that different social groups have different levels of access to symbolic and communication resources; thus, the way reality gets constructed reflects the ability of powerful groups to shape this process. The notion of critical theory as a “discourse of suspicion” therefore focuses on the idea that the exercise of power is often hidden. That is, power is not always exercised coercively by the more powerful on the less powerful but, instead, works in subtle ways to shape the way in which people think about and experience the world.

Critical organizational communication researchers are interested in the ways that communication and power intersect in complex ways (Mumby, 1988). Building on the interpretive view that sees organizations as constituted through communication, critical scholars argue that the process of organizational meaning construction cannot be understood without examining organizations as political structures where power plays a central role. Different interest groups vie to shape the organizational meanings that constitute reality for members; management, for example, might attempt to engineer a certain organizational culture they expect employees to internalize, while employees may actively work to resist that culture (e.g., by making jokes about it or ironically following its principles) because they see it as an effort to manipulate them into working harder (Kunda, 1992). Critical researchers thus ask themselves how certain meaning systems are created through the communication and symbolic practices of organization members and how these meanings, in turn, sustain or resist certain organizational power relations (Deetz & Mumby, 1990).

For example, in my own research on a story told at IBM about a confrontation between a female security guard and Tom Watson, the CEO, I show how this story —while on the surface appearing to celebrate the ability of a low-level employee to “put one over” on the top guy—actually reinforces the strong sense of hierarchy and importance of rule following at IBM (Mumby, 1987). The story creates a social reality for organization members that subtly reinforces what is appropriate and inappropriate behavior. In a similar vein, critical management scholar Michael Rosen (1985, 1988) has studied corporate rituals to show how carefully orchestrated events such as company Christmas parties and corporate breakfasts can function to subtly reassert the worldview of the management élite in the organization.

Placed in the larger context of the modernist project, the critical perspective recognizes that the ideas of progress and emancipation that are so central to the Enlightenment actually represent a double-edged sword. On the one hand, the past 150 years have featured immense progress in science and technology, leading to longer and qualitatively better lives for people. On the other hand, this same progress has resulted in increasingly sophisticated forms of control that subtly exploit people for profit. To use organizational communication scholar Stan Deetz’s

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(1992a) phrase, we live in an age of “corporate colonization” where our identities are heavily shaped by the corporate world. In this sense, the critical perspective aims to critique the voice of “managerialism” that dominates the field of management, and tries to give voice to those in organization who have relatively little power.

Postmodernism: The Discourse of Vulnerability

As an approach to knowledge, postmodernism poses the biggest challenge to the representational discourse. Of all the perspectives we have discussed so far, postmodernism is the one that questions most vigorously our common-sense understandings about what we know, and how we know what we know. In this sense, our common-sense view of the world is “vulnerable” to multiple alternative perspectives.

To understand what some scholars have referred to as “the postmodern condition” (Lyotard, 1984), we need to distinguish between two different but related terms. First, postmodernity is generally taken to refer to a specific historical period that, as the term suggests, comes after modernity. Precisely when the postmodern era began is open to wide interpretation (some scholars argue that it has yet to begin, that we are still in the modernist era). Some place its roots in the late 19th century with the writings of Nietzsche and his announcement of the “death of God” (i.e., the death of any universal, objective truth and the rise of multiple perspectives on the world). Others regard postmodernity as a much more recent phenomenon.

Architect Charles Jencks, for example, places the postmodern era’s symbolic birth at 3:33 p.m. on July 18, 1973—the moment when the Pruitt-Igoe housing project in St. Louis was demolished (Harvey, 1989). Why does this particular moment signal the birth of postmodernity? Jencks argues that the demolition of this housing project symbolically represents the failure of the main hallmark of modernity—the application of rational principles to human, social problems. Certainly, building huge, identical towering structures to provide cheap, low- income housing seemed on the face of it to be a sensible solution to the problem of urban growth. It also satisfied the modernist concern for certainty and control by creating predictable, homogeneous environments. However, the designers of such projects failed to recognize the extent to which such “rational” structures would be deeply alienating to people. With little or no sense of community, these structures functioned more like prisons than homes. There is no better example of the darker side of modernity than this attempt by planners and bureaucrats to develop, in the name of efficiency, an organizational system that almost completely eliminated from people’s lives what makes us most human.

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The second term associated with the postmodern condition is postmodernism. This term refers not to a particular historical period but to a particular way of thinking about the world. Postmodernism is closely associated with an intellectual movement that originated in the 1960s with a group of French scholars—most notably, Michel Foucault and Jacques Derrida. Amongst other things, this movement questions some of the most deeply held principles of modernism. Most significantly, postmodernism challenges and rejects the modernist belief that rationality and science inevitably lead to progress and emancipation. Indeed, many postmodernists argue that it is precisely this unwavering and unquestioning belief in the scientific method and rational principles of investigation that has contributed to human suffering. The Pruitt-Igoe housing project discussed previously is such an instance of modernist principles being the problem rather than the solution.

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Modern principles of rationality do not always lead to higher quality of life for people.

What do postmodern scholars believe in? Part of the problem in answering this question is that laying out a set of foundational postmodern principles actually violates a basic postmodern tenet; that is, there are no foundations! The idea of “no foundations” is an attempt to get at the idea that there are multiple ways of looking at the world and, therefore, multiple potential realities. The influence of this position can be seen in debates over university curricula, where challenges to the so-called “Western canon” argue for the expansion of what counts as knowledge. Instead of requiring students to read only the “Great Books” (written almost exclusively by dead white males), it is argued that students should also be exposed

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to writers who traditionally have been marginalized by the dominance of Western ideas about Truth. Thus, African American, Asian, Chicana/o, women, gay, and lesbian writers have been integrated into many university curricula.

For postmodernists, then, there is not one, single “grand narrative” that reveals the truth about the world but, rather, many “little stories,” each of which constitutes a particular way of seeing. Such multiple stories, postmodernists argue, create alternative realities that challenge the dominant modernist view of Truth as singular and universal.

How do postmodernists view communication? It should be no surprise that they reject the representational view discussed earlier. Indeed, postmodernists do their best to break any connection between communication and the world “out there.” In other words, postmodernists reject any “correspondence” view of communication, in which statements somehow reflect an actually existing set of conditions in the world. In fact, some postmodernists reverse the common-sense relationship between communication and reality, arguing that rather than communication being the symbolic representation of a real world, communication is what is real, with the world having a secondary status. In French philosopher Jacques Derrida’s (1976) famous words, “there is nothing outside of the text” (p. 157). In other words, all we have access to is discourse—that is what is real to us.

An example will help clarify this notion. Paris Hilton is a famous person, known by millions, perhaps billions—but why? She has no apparent talent. She isn’t a sports star, a celebrated author, or a singer. The simple, postmodern answer is that she’s famous for being famous. She has no substance as such, other than the way she has been carefully “branded,” with a particular identity constructed for her (we’ll talk in detail about branding in Chapter 12). Now, many stars are “branded,” and no one completely escapes the postmodern juggernaut of created meanings, but we could argue that Paris Hilton is the nearest thing there is to pure text, pure discourse! Her fame is totally dependent on her ability to remain in the public eye, on her appearing regularly on my favorite show, Access Hollywood; in other words, her fame depends totally on her (in)famy. She is, in this sense, postmodernism personified.

Of course, these days Paris Hilton is passé and other postmodern personalities have usurped her—the entire Kardashian family, The Situation, Snooki, and so on ad nauseam. What all these “celebrities” have in common is that they are all almost purely “text”—they don’t really exist outside of the media reality that created them.

How does this translate into the study of organizations? Several postmodern organization scholars have done close analyses of organizational texts, such as stories, to show how they impose a particular meaning on organization members and obscure other possibilities (Boje, 1995; Boje & Rosile, 1994; Calás & Smircich, 1991; Martin, 1990). Sometimes called deconstruction—a term coined by Derrida—these interpretive analyses attempt to illustrate how organizations are

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not the stable structures they appear to be but are actually relatively precarious systems of meaning fixed more by the dominance of a particular worldview.

In addition, many postmodern organization scholars examine the forms of disciplinary control (discussed earlier) that shape the postmodern (sometimes called post-Fordist or postbureaucratic) organizational environment. Scholars examine everything from management theories (how do they construct particular kinds of employee identity?) to the everyday dynamics of workplace control and resistance peculiar to the “culture of enterprise” in the (post)modern organization (Du Gay & Salaman, 1992; Knights & McCabe, 2000b; Townley, 1993b). We will discuss the postmodern, post-Fordist approach to organizational communication in Chapter 8.

Feminism: The Discourse of Empowerment

The feminist approach to organizations is the one that has been around the shortest amount of time, coming to prominence in the 1990s. In terms of the crisis of representation, the most distinctive feature of feminism is how it addresses the question of “voice.” For the most part, feminist scholars argue, organization researchers have been “blind and deaf” to the question of gender (Wilson, 1996). In other words, for most of its history, the field of management has examined organizational life as if only one gender—men—existed. Moreover, organizations themselves have, until relatively recently, systematically excluded women from anything other than low-paid, entry-level positions.

One of the goals of feminist approaches to organizational communication, then, is to address the exclusion of women’s voices from organizational life and to develop research approaches that highlight women’s voices (Buzzanell, 1994). However, as we will see in Chapter 9 of this book, there are in reality multiple feminist perspectives, each of which has a different view of the role of women and men in organizations. Liberal feminism, for example, argues for creating a level playing field to provide women voice and opportunity in organizations. Radical feminism argues that creating a level playing field simply leaves patriarchy (male domination) intact, and women need to create alternative organizational forms free from male oppression. Finally, critical feminism takes the position that organizations are “gendered” structures of power; gender is an everyday, constitutive feature of organizational life that implicates both women and men.

From an organizational communication perspective, then, feminist research has focused on exploring the relationships among gender, power, and organization in order to develop more equitable organizational practices and structures. In this sense, feminism is a discourse of empowerment with a specific focus on gender as a construct around which power is exercised. For example, management scholar

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Rosabeth Moss Kanter’s (1977) classic book Men and Women of the Corporation was the first to examine closely how the structure of organizations tends to exclude women from managerial positions by hiring them as “tokens” who are set up for failure in a male-dominated environment. Her book documents how men are not necessarily consciously sexist (though in the 1970s many were); rather, the communication environment of corporations—premised on the need to maintain effectiveness and efficiency by hiring and promoting employees who fit in (i.e., white men)—is what puts women at a distinct disadvantage.

As we will see later on, much feminist research has moved away from focusing exclusively on women and is much more interested in how power and organizational communication interact to create different kinds of gendered identities, including both femininity and masculinity. Today, then, and unlike its popular conception, feminism is a long way from its “male-bashing” stereotype and is much more interested in understanding how both women and men are “prisoners of gender” (Flax, 1990). In this sense, many feminist researchers are interested in how both men and women “do gender” (i.e., perform gendered identities) in their everyday organizational lives (Ashcraft, 2005; Collinson, 1988; Mumby, 1998).

In sum, the five perspectives discussed here show an increasing tendency toward questioning our common-sense understanding of the world. Starting from the widely held premise that we communicate in ways that represent or reflect a stable, objective world, we have gradually moved to a position in which the relationship between communication and the world we live in has been rendered complex and problematic. For our purposes, the main consequence of this discussion has been to undermine any simple understanding of the relationship between communication and organization. As I stated early in this chapter, we fail to appreciate fully the difficulties and complexities associated with organizational communication if we view this phenomenon as simply “communication in organizations.” By calling into question this widely accepted view, we are better able to “think differently” about organizations and how they function in relation to our everyday lives. Table 1.2 provides a helpful summary of the five perspectives.

Table 1.2 Five Perspectives on Organizational Communication

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CONCLUSION

This chapter laid out some of the basic assumptions about organizational communication as a field of study. Any time we attempt to understand a particular field, we need to get a picture of the various assumptions on which different perspectives are built. Clearly, organizational communication studies draws on a number of different traditions, reflecting the complexity of the phenomenon we are attempting to understand.

As a way of understanding the field, I presented five different research traditions, or discourses—functionalism, interpretivism, critical theory, postmodernism, and feminism—each of which operates on a different set of assumptions about the nature of communication, organizations, and truth. With these research traditions as a context, we are now in a position to examine more closely the specific research traditions in organizational communication that have emerged in the past several decades.

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However, while this chapter has provided us with a sense of the “big picture,” we do not yet have a detailed sense of the specific lens or perspective we will use to examine these different theories and bodies of research. As will become clear in the course of this book, it is impossible to examine theory and research without adopting a position oneself (even though many textbooks tend to adopt a “God’s- eye view,” a view from “nowhere and everywhere”). As I mentioned earlier in this chapter, this book is written explicitly from a critical perspective, and so Chapter 2 will be devoted to a detailed discussion of this perspective. We will discuss the history of the critical perspective and its underlying assumptions, goals, and values. By the end of the chapter, we will have a useful set of principles with which to make sense of the complex terrain that constitutes the field of organizational communication studies.

CRITICAL APPLICATIONS

1. Individually or in groups, identify the different forms of control addressed in this chapter. Think about instances where you have experienced these forms of control. Some will be routine and everywhere; others will be more unusual. How did they make you feel? What were your responses to these experiences? To what degree do you take these control mechanisms for granted? Are there situations where you have tried to resist or circumvent organizational control mechanisms?

2. Discuss the five different perspectives on organizational communication addressed in this chapter. What are their defining features? Using a single organization with which you are familiar, choose three of the perspectives and use the principles of each to analyze the organization. What features of the organization are highlighted and hidden by each perspective? What does this tell you about the nature of research and knowledge generation?

KEY TERMS

communication

crisis of representation

critical theory

feminism

functionalism

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interpretivism

metatheoretical framework

modernism

organizational communication

organizational control

postmodernism

STUDENT STUDY SITE

Visit the student study site at www.sagepub.com/mumbyorg for these additional learning tools:

Web quizzes eFlashcards SAGE journal articles Video resources Web resources

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The critical approach can enable you to navigate the complexities of organizational life.

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CHAPTER 2

The Critical Approach

In Chapter 1 we framed the field of organizational communication by providing a broad overview of several current research traditions. In this chapter we will take a much more detailed look at the perspective that will be our guide for the rest of this book—the critical approach. By the end of this chapter, you will have the analytic tools that will enable you to understand and critique the various theories, research traditions, and organizational processes we will be examining in the remaining chapters of this book. In developing these analytic tools my goal is to help you become “organizationally literate” such that you can better understand the expanding role of organizations in creating the world in which we live. Being “organizationally literate” enables us to become better organizational citizens, attending more critically to the important organizational processes and practices that shape both our working and leisure activities.

So, we must develop in detail the perspective that provides the guiding assumptions for this book. You may have noticed that the subtitle of this book is “A Critical Approach.” In this context, the term critical refers not to the everyday, negative sense of that term but, rather, to a perspective on organizations that has emerged in the past 30 years. From this perspective, organizations are viewed as political systems where different interest groups compete for control of organizational resources (Morgan, 2006). The critical approach highlights the goal of making organizations more participatory and democratic structures that are more responsive to the needs of their multiple stakeholders (Deetz, 1995). As we examine different organizational and management theories through the course of this book, we will assess them with this critical approach as our guidepost.

The first goal of this chapter, then, is to provide you with a sense of the various influences and schools of thought that have helped establish a body of critical research in the field of organizational communication. Thus, we will take a historical lens to examine the emergence of the critical approach. A second goal of this chapter is to explain in some detail the principal elements of the critical approach. What are its assumptions? How does it view organizations and organizing practices? How does it conceive of communication? What are its goals and purposes? A third and final goal of this chapter is to show how the critical approach can be used as a way to examine and critique other ways of understanding organizations. As we move forward in the book, each perspective we address will be examined critically.

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First, let us turn to an examination of the various historical influences that have led to the emergence of the critical approach.

THE CRITICAL APPROACH: A HISTORY

While there are a number of different historical influences on the critical approach, one common thread tends to run through all these influences—the work of Karl Marx (1967; Marx & Engels, 1947). In the past 100 years or so, Marx’s large body of writings has profoundly influenced modern social thought. Indeed, along with sociologists Emile Durkheim and Max Weber, Marx is considered to be a foundational thinker in our understanding of how society functions culturally, politically, and economically. However, the difficulty of Marx’s work has led over the decades to a number of different interpretations of his ideas. These different interpretations have, in turn, resulted in the establishment of different research traditions and schools of thought that expand on Marx’s original ideas and attempt to make them relevant to contemporary society.

In this section we will first discuss some of the basic elements of Marx’s theory of society. Then, we will take a look at two schools of thought that are strongly influenced by Marx but that, at the same time, critique some of the limitations of his work and attempt to provide alternative views of society. These two schools of thought are (1) The Institute for Social Research (commonly known as the Frankfurt School) and (2) cultural studies.

Karl Marx

If we discuss Marx’s work in the context of the framework developed in Chapter 1, we can say he was very much a critical modernist (indeed, one could argue that he is the principal founder of the critical modernist perspective). Why is he a critical modernist, and what is the importance of his work for the development of the critical approach?

During his life (1818–1883), Marx was witness to major economic and political upheaval in Europe, as capitalism became the dominant economic and political system. Unlike earlier theorists such as Adam Smith (author of The Wealth of Nations, who we will talk about more in Chapter 3), Marx did not celebrate the emergence of capitalism but, rather, criticized the ways in which it exploited working people. As Marx (1967) showed in his most famous work, Capital, despite the 19th century’s unprecedented growth in production and, hence, in wealth, most of this wealth was concentrated in the hands of a very small minority of people he called capitalists. Even more significantly, Marx showed that this wealth was not directly produced by capitalists but was generated through the

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exploitation of the laborers who worked for the capitalists in their factories. Marx is a critical modernist, then, in that he both critiques capitalism as an economic and political system of domination and exploitation and outlines an alternative political and economic system (socialism). Thus, he believes in the Enlightenment principle of emancipation and freedom for everyone, regardless of their economic or political status.

How does Marx arrive at this analysis of capitalism as an exploitative system? While his work is immense in volume and extremely complex, we can identify some basic issues.

 

Photos.com/Photos.com/Thinkstock

Karl Marx’s writings have significantly influenced how we understand capitalist organizations.

Marx’s Key Issues

First, Marx provides a detailed analysis of the historical development of different economic systems, or forms of ownership. These he describes as tribal, ancient, feudal, and capitalist. Each of these periods represents increasing levels of societal

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complexity in terms of how goods are produced, the forms of property ownership that exist, and the system of class relations—or social hierarchy—in place. For example, tribal societies featured a hunter–gatherer system of production, little division of labor, and no class system insofar as tribal property was communal. Ancient societies, such as Greece and Rome, were city-states organized around agriculture, with a developed civil and political system. In addition, the class structure consisted of male citizens, women, and slaves, with slaves doing all the direct labor. In the feudal system production was concentrated in agriculture, ownership was in the hands of an aristocratic class that had stewardship over the land, and the class system consisted of serfs who performed labor and the aristocrats who had rights over the serfs.

It was in capitalism, however, that the economic system took on its most complex—and most exploitative—form. Here, production shifted from the countryside to the town and, due to the passing of a series of “Enclosure Laws” that privatized “common land” (which everyone could use) for the exclusive use of the aristocracy, commoners were coercively removed from this land (where they kept livestock and grew produce) and forced to migrate to the developing cities, thus creating a large pool of wage labor for the new factories.

Marx is famous for developing a theory called historical materialism—an idea that analyzes history according to different modes of production, each involving shifting forms of property ownership and class relations. Thus, Marx identifies these different modes as common ownership (tribal society), citizen–slave (ancient society), aristocrat–serf (feudal society), and capitalist–wage laborer (capitalist society). In the last three cases, Marx shows that each system consists of an exploiting and an exploited class, with the former living off and dependent on the labor of the latter.

But what does Marx identify as being particularly exploitative about capitalism? Certainly, in the context of early 21st century society, capitalism is usually associated with democracy and freedom, and it has certainly been a driving force behind huge increases in our standard of living over the past 100 years or more. What was it, then, that Marx found so objectionable about this economic and political system?

In his analysis of capitalism, Marx identifies three elements peculiar to this particular economic system.

1. Under capitalism, workers are no longer able to produce for themselves what they need to live. In Marx’s terms, they do not possess their own “means of production” (land, tools, animals, machinery, etc.). Because the advent of capitalism in Europe saw the forcible removal of large populations from common land, these dislocated people were forced to sell at the going market rate the only thing that remained to them—their labor power. In this sense, the

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non-owners of the means of production (workers) are forced to satisfy their own economic needs by selling their labor power to the dominant group (the capitalists). Thus, workers actually perform the economic maintenance of the capitalist class.

2. Marx identifies capitalism as the only system of economic production in which the very foundation of the system is not to make goods in order to produce even more goods but, rather, to turn money into even more money. In this sense, the product a particular company makes becomes largely irrelevant, as long as that company continues to make a strong “return on investment.” Thus, the actual “use value” of the product is much less important than its “exchange value.” This is even truer today than it was in Marx’s time. For example, companies such as Procter and Gamble produce everything from bars of soap to potato chips, and media barons such as Rupert Murdoch own companies as diverse as television stations, newspapers, and sports teams. Moreover, financial markets such as Wall Street do not even make products as such but leverage money itself many times over to make more money. The issue in all these cases is not whether such products are useful but whether, through their exchange value, they can create more wealth for investors. As Marx shows, this means that under capitalism, everything—including workers—becomes a commodity to be bought and sold.

3. The exploitative nature of capitalism is hidden. That is, when workers sell their labor power to capitalists they are not selling a specific amount of labor but, rather, a certain capacity to labor for a particular period of time. For example, a worker may be hired to work 10 hours a day at a particular hourly rate (say, $10). The capitalist’s goal is to extract as much labor as possible from the worker during that 10-hour period (e.g., by constant supervision, speeding up the work process, etc.). As Marx points out, this means that the labor of the worker produces more value than that at which it is purchased (indeed, the value of the labor is infinitely expandable, limited only by technology, machine efficiency, and the worker’s physical capacity). Marx refers to this difference between the value of the labor power, as purchased by the capitalist, and the actual value produced by the laborer as surplus value. This is the source of profit for the capitalist. Surplus value is hidden because the worker appears to be paid for a full day’s work. However, as Marx shows, the worker is paid for only that portion of the working day that is necessary to maintain the worker, that is, feed and clothe him or her—what Marx calls “necessary labor.” The rest of the working day is surplus labor and is actually unpaid.

Summarizing Marx’s analysis, sociologist Ken Morrison (1995, p. 81)

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describes the features of surplus value in the following manner:

1. It is created by the surplus labor of the worker. 2. It is unpaid and hence creates value for the capitalist. 3. It represents deception because it claims to be paid labor. 4. It is at the heart of capitalist exploitation since the worker is not paid for the

wealth created.

While Marx was obviously addressing the conditions that existed in 19th century factories, the same principles—and in some cases working conditions— still exist today (indeed, one of the reasons many companies move production overseas is that labor laws regarding minimum wage, length of working day, workplace safety, and so on are less strict or even nonexistent, thus creating more surplus value).

In her participant-observation study of Subaru-Isuzu Automotive, for example, sociologist Laurie Graham (1993) shows how contemporary capitalist organizations attempt to increase the amount of surplus value that workers produce. Graham discusses how workers are grouped into teams and required to perform a long list of tasks on a moving production line. When the plant first opened, the workers struggled to complete the tasks (22 in all) in the designated 5-minute time period. However, through increased efficiency and line speed up, the same tasks were soon performed in 3 minutes and 40 seconds. As Graham indicates, “Everyone was expected to continually make his or her job more efficient, striving to work to maximum capacity” (p. 160). In Marx’s terms, we can say that the workers are producing an increasing amount of surplus value, while the value they accrue to themselves in the form of wages remains the same.

This example is interesting because the workers are apparently happy to work ever harder while receiving no reward for this extra work (except perhaps a pat on the back, although there is a long history of companies firing employees as they become more efficient—hence, paradoxically, it is not always in employees’ best interests to work hard!). This apparent willingness to put up with a system of exploitation brings us to the next crucial aspect of Marx’s critique of capitalism— his theory of ideology. This concept will play an important role in later chapters of this book, so it is important to get a basic understanding of it now.

 

 
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BUSINESS ETHICS Seventh Edition

Manuel G. Velasquez Santa Clara University

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Contents Preface vi

PART ONE Basic Principles 1

1 Ethics and Business 3 Introduction 4 1.1 The Nature of Business Ethics 8 1.2 Ethical Issues in Business 27

ON THE EDGE: A Traditional Business 35 1.3 Moral Reasoning 37

ON THE EDGE: WorldCom’s Whistleblower 42 1.4 Moral Responsibility and Blame 56

ON THE EDGE: Gun Manufacturers and Responsibility 63 CASES FOR DISCUSSION 64 Slavery in the Chocolate Industry 64 Aaron Beam and the HealthSouth Fraud 68

2 Ethical Principles in Business 73 Introduction 74 2.1 Utilitarianism: Weighing Social Costs and Benefits 76

ON THE EDGE: Should Companies Dump Their Wastes In Poor Countries? 80

2.2 Rights and Duties 90 ON THE EDGE: Working for Eli Lilly & Company 92

2.3 Justice and Fairness 105 ON THE EDGE: ExxonMobil, Amerada Hess, and Marathon Oil in Equatorial Guinea 113

2.4 The Ethics of Care 119 2.5 Integrating Utility, Rights, Justice, and Caring 124 2.6 An Alternative to Moral Principles: Virtue Ethics 126 2.7 Unconscious Moral Decisions 135

CASES FOR DISCUSSION 143 Traidos Bank and Roche’s Drug Trials in China 143 Unocal in Burma 145

PART TWO The Market and Business 149

3 The Business System: Government, Markets, and International Trade 151 Introduction 152 3.1 Free Markets and Rights: John Locke 157

iii

 

 

iv CONTENTS

3.2 Free Markets and Utility: Adam Smith 164 ON THE EDGE: Commodification or How Free Should Free Markets Be? 166

3.3 Free Trade and Utility: David Ricardo 172 3.4 Marx and Justice: Criticizing Markets and Free Trade 176

ON THE EDGE: Marx’s Children 178 ON THE EDGE: Napster’s Lost Revolution 182

3.5 Conclusion: The Mixed Economy, the New Property, and the End of Marxism 185

CASES FOR DISCUSSION 190 The GM Bailout 190 Accolade versus Sega 194

4 Ethics in the Marketplace 197 Introduction 198 4.1 Perfect Competition 200 4.2 Monopoly Competition 209

ON THE EDGE: Drug Company Monopolies and Profits 212 4.3 Oligopolistic Competition 215

ON THE EDGE: Fixing the Computer Memory Market 218 4.4 Oligopolies and Public Policy 225

ON THE EDGE: Oracle and Peoplesoft 229

CASES FOR DISCUSSION 230 Intel’s “Rebates” and Other Ways It “Helped” Customers 230 Archer Daniels Midland and the Friendly Competitors 235

PART THREE Business and Its External Exchanges: Ecology and Consumers 241

5 Ethics and the Environment 243 Introduction 244 5.1 The Dimensions of Pollution and Resource Depletion 246

ON THE EDGE: Ford’s Toxic Wastes 250 5.2 The Ethics of Pollution Control 263

ON THE EDGE: The Auto Companies in China 264 5.3 The Ethics of Conserving Depletable Resources 283

ON THE EDGE: Exporting Poison 286

CASES FOR DISCUSSION 293 The Ok Tedi Copper Mine 293 Gas or Grouse? 297

6 The Ethics of Consumer Production and Marketing 303 Introduction 304 6.1 Markets and Consumer Protection 306

 

 

CONTENTS v

6.2 The Contract View of Business Firm’s Duties to Consumers 308 6.3 The Due Care Theory 314

ON THE EDGE: The Tobacco Companies and Product Safety 316 6.4 The Social Costs View of the Manufacturer’s Duties 319

ON THE EDGE: Selling Personalized Genetics 320 6.5 Advertising Ethics 322

ON THE EDGE: Advertising Death to Kids? 324 6.6 Consumer Privacy 330

CASES FOR DISCUSSION 335 Becton Dickinson and Needle Sticks 335 Reducing Debts at Credit Solutions of America 339

PART FOUR Ethics and Employees 345

7 The Ethics of Job Discrimination 347 Introduction 348 7.1 Job Discrimination: Its Nature 350

ON THE EDGE: Helping Patients at Plainfield Healthcare Center 355 7.2 Discrimination: Its Extent 356 7.3 Discrimination: Utility, Rights, and Justice 367

ON THE EDGE: Driving for Old Dominion 372 ON THE EDGE: Peter Oiler and Winn-Dixie Stores 376

7.4 Affirmative Action 378

CASES FOR DISCUSSION 389 Should Kroger Pay Now for What a Ralphs’ Employee Did in the Past 389 Wal-Mart ’s Women 392

8 Ethics and the Employee 399 Introduction 400 8.1 The Rational Organization 401

ON THE EDGE: HP’s Secrets and Oracle’s New Hire 410 ON THE EDGE: Insider Trading or What Are Friends For? 414

8.2 The Political Organization 421 ON THE EDGE: Sergeant Quon’s Text Messages 425

8.3 The Caring Organization 446

CASES FOR DISCUSSION 450 Death at Massey Energy Company 450 Who Should Pay? 456

Notes 458 Photo Credits 485 Text Credits 485 Index 488

 

 

Preface

Business Ethics: Concepts and Cases continues to be one of the most widely used textbooks on business ethics, and remains popular among students because of its accessi- ble style and lucid explanations of complex theories and concepts. Providing clear explanations of ideas without oversimplifying them into caricatures of themselves is a major challenge for texts in this field (as any instruc- tor knows who has examined several texts on business ethics). Instructors who have used previous editions of this textbook have said that it does an outstanding job of meeting this challenge, while also providing an ex- cellent balance of ethical theory and managerial prac- tice. But the world does not stand still. Not only have our technologies, organizational forms, and managerial practices changed over the last few years, but our un- derstanding of ethical reasoning has developed and new moral issues have continued to challenge business. So it was necessary to revise the text and to provide fresh and updated treatments of these and other enduring ethical issues in business. To facilitate the study of these issues, this edition incorporates a number of valuable and ex- citing pedagogical devices including:

■ Six new and seven updated end-of-chapter cases ■ Twelve completely new “On the Edge” short

cases and six updated short cases in the body of the chapters

â–  Eight newly illustrated short cases â–  Eight ABC News video clips posted online on the

book’s companion website, www.mythinkinglab. com to accompany eight of the end-of-chapter cases.

â–  New graphs and charts, new pictures, and other visual materials

â–  Study questions at the beginning of each chapter

â–  Definitions of key terms in the margins and in the glossary

â–  Summaries in the margins of all the basic ideas discussed in the text

â–  New discussions of: moral reasoning, cor- porate social responsibility, impediments to

moral behavior, the influence of unconscious processes on moral behavior, globalization, technology, predatory pricing, the fraud tri- angle, sustainability, the value of work, recent business scandals, and much more.

â–  Up-to-date statistics and data in all chapters. â–  End-of-chapter web resources

Although this new edition updates the contents of its predecessor, it retains both the basic organization and the conceptual framework of previous versions.

The primary aims of the text remain the same as in earlier editions. They are: (1) to introduce the reader to the ethical concepts that are relevant to resolving moral issues in business; (2) to impart the reasoning and ana- lytical skills needed to apply ethical concepts to business decisions; (3) to identify the moral issues involved in the management of specific problem areas in business; (4) to provide an understanding of the social, techno- logical, and natural environments within which moral issues in business arise; and (5) to supply case studies of actual moral dilemmas faced by businesses and business people.

The text is organized into four parts each contain- ing two chapters. Part One provides an introduction to basic ethical theory. A fundamental perspective de- veloped here is the view that ethical behavior is the best long-term business strategy for a company. By this I do not mean that ethical behavior is never costly. Nor do I mean that ethical behavior is always rewarded or that unethical behavior is always punished. It is ob- vious, in fact, that unethical behavior sometimes pays off, and that ethical behavior can impose serious losses on a company. When I argue that ethical behavior is the best long-range business strategy, I mean merely that over the long run, and for the most part, ethi- cal behavior can give a company important competi- tive advantages over companies that are not ethical. I present this idea and argue for it in Chapter 1, where I also indicate how we come to accept ethical stan- dards and how such standards can be incorporated into our moral reasoning processes. Chapter 2 critically discusses four kinds of moral principles: utilitarian

vi

 

 

principles, principles based on moral rights, principles of justice, and the principles of an ethic of care. These four kinds of moral principles, it is argued, provide a framework for resolving most of the kinds of ethical dilemmas and issues that arise in business. In addition, Chapter 2 discusses virtue theory as an alternative to a principles-based approach and discusses automatic moral decision-making and casuistry.

Having defined the nature and significance of ethi- cal standards and having identified four basic criteria for resolving moral issues in business, I then bring the resulting theory to bear on specific moral issues. Thus, Part Two examines the ethics of markets and prices; Part Three discusses environmental and consumer is- sues; and Part Four looks at employee issues. I assume in each part that in order to apply a moral theory to the real world we must have some information (and theory) about what that world is really like. Consequently, each chapter in these last three parts devotes several pages to laying out the empirical information and theory that the decision-maker must have if he or she is to apply moral- ity to reality. The chapter on market ethics, for exam- ple, provides a neoclassical analysis of market structure; the chapter on discrimination presents several statistical and institutional indicators of discrimination; the chap- ter on the individual in the organization relies on three models of organizations.

Each chapter of the text contains two kinds of ma- terials. The main text of the chapter sets out the con- ceptual materials needed to understand and address some particular type of moral issue. In addition, each chapter includes short cases in the main body of the chapter, and longer cases at the end of the chapter, that describe real business situations in which these moral issues are raised. I have provided these discussion cases on the pedagogical assumption that a person’s ability to reason about moral matters will improve if the person attempts to think through some concrete moral prob- lems and allows himself or herself to be challenged by others who resolve the issue on the basis of different moral standards. These kinds of challenges, when they arise in dialogue and discussion with others, force us to confront the adequacy of our moral norms and motivate us to search for more adequate principles when our own are shown to be inadequate. Some of the rationale for these pedagogical assumptions is discussed in Chapter 1 in the section on moral development and moral reason- ing. I hope that I have provided sufficient materials to allow the reader to develop, in discussion and dialogue with others, a set of ethical norms that they can accept as adequate.

New to this Edition

Although dozens of large and small revisions have been made in all the chapters of this edition, the follow- ing changes from the previous edition’s text should be noted by previous users of this text.

Chapter 1 includes new discussions of corporate social responsibility, integrative social contracts the- ory, the link between emotions and moral reasoning, and impediments to moral behavior. A new “On the Edge” short case has been added entitled “A Tra- ditional Business,” and an older one entitled “Was National Semiconductor Morally Responsible?” has been removed and, like all other deleted cases, was archived on the Companion Website. The end- of-chapter case “Aaron Beam and the HealthSouth Fraud” is added, and “Enron’s Fall” was removed and archived.

Chapter 2 has an expanded discussion of the mis- takes people can make when approaching utilitarian theory for the first time; a new discussion of the claim that context, not character, determines moral behavior; a new section on the influence of unconscious mental processes on moral behavior; and a new discussion of the relation between conscious moral reasoning on the one hand, and unconscious moral decision-making, moral intuition, and cultural influences on the other hand. The “On the Edge” short case, “Conflict Diamonds” was dropped and a new one added titled “Should Com- panies Dump Their Wastes in Poor Countries?” The end-of-chapter case “Publius” was removed and ar- chived, and a new case added named “Traidos Bank and Roche’s Drug Trials in China.”

Chapter 3 has a revised introduction and an expanded discussion of “alienation” in Marx. New “On the Edge” short cases include: “Commodification or How Free should Free Markets Be?” and “Marx’s Children,” while “Brian’s Franchise” was removed and archived. The older end-of-chapter case “Glaxo- SmithKline, Bristol-Myers Squibb, and AIDS in Africa” was replaced with the new case “The GM Bailout.”

Chapter 4 has a revised introduction, a new discus- sion of predatory pricing, and a new section on “Incen- tives, Opportunities, and Rationalization.” The new end-of-chapter case “Intel’s â€Rebates’ and Other Ways It â€Helped’ Customers” replaces the older “Playing Monopoly: Microsoft.”

The introduction to Chapter 5 has been revised, and its discussions of pollution and resource deple- tion have been revised and completely updated with new charts and graphs. A new section on sustainability

PREFACE vii

 

 

viii PREFACE

was added. The new “On the Edge” short case, “Ford’s Toxic Wastes” replaced “The Aroma of Tacoma,” and the short case, “The Auto Companies in China” was ex- tensively revised and updated. Both of the two end-of- chapter cases were revised and updated.

The introduction to Chapter 6 has been revised. The new short case “Selling Personalized Genetics” was added, and the other two cases on the tobacco industry were revised. At the end of the chapter, the case “Reducing Debts at Credit Solutions of America” was added and “The Ford/Firestone Debacle” was removed.

In Chapter 7 all the statistical materials were brought up to date and several new graphs were added, while the section on comparable worth programs was removed. Two new “On the Edge” short cases in this chapter are “Helping Patients at Plainfield Healthcare Center” and “Driving for Old Dominion.” The older short case “Wall Street: It’s a Man’s World” was re- moved and archived. Both of the end-of-chapter cases have been updated.

In Chapter 8 all the statistics have been updated and the discussion of conflicts of interest was revised; the older section, “Working Conditions: Job Satisfac- tion” was removed and a new discussion on the value of work was added. All of the older “On the Edge” short cases were removed, and three completely new short cases were added entitled “HP’s Secrets and Oracle’s New Hire,” “Insider Trading or What Are Friends For?” and “Sergeant Quon’s Text Messages.” The new end-of-chapter case “Death at Massey Energy Com- pany” replaces “Gap’s Labor Problems.”

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Instructor’s Manual with Tests ( 0-205-01767-3 ):

For each chapter in the text, this valuable resource pro- vides a detailed outline, list of objectives, and discussion questions. In addition, test questions in multiple-choice, true/false, fill-in-the-blank, and short answer formats are available for each chapter; the answers are page refer- enced to the text. For easy access, this manual is available at Preface vii www.pearsonhighered.com/irc.

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Acknowledgments

Like every textbook author, I owe a very large debt of gratitude to the numerous colleagues and other scholars around the world from whom I have shamelessly bor- rowed ideas and materials. They all, I hope, have been duly recognized in the notes. Thank you to Marc Or- litzky, The University of Redlands; Barbara Fechner, South East Community College; and Rodney Stevenson, University of Wisconsin—Madison for their feedback. I owe a special debt to my colleagues in the Management Department where I teach, especially to Dennis Moberg. But my largest debt is owed to my wife and family who have patiently (and sometimes not so patiently) had to put up with me while I remained obsessively preoccupied with writing and revising the present edition of this book. To Maryann, Brian, Kevin, and Daniel: Thank You.

Manuel G. Velasquez Aptos, California

 

 

1

PART ONE

Basic Principles BUSINESS ETHICS IS APPLIED ETHICS. IT IS THE APPLICATION OF OUR UNDERSTANDING OF WHAT IS GOOD

AND RIGHT TO THAT ASSORTMENT OF INSTITUTIONS, TECHNOLOGIES, TRANSACTIONS, ACTIVITIES, AND

PURSUITS THAT WE CALL BUSINESS. A DISCUSSION OF BUSINESS ETHICS MUST BEGIN BY PROVIDING A

FRAMEWORK OF BASIC PRINCIPLES FOR UNDERSTANDING WHAT IS MEANT BY THE TERMS GOOD AND RIGHT ;

ONLY THEN CAN ONE PROCEED TO PROFITABLY DISCUSS THE IMPLICATIONS THESE HAVE FOR OUR BUSI-

NESS WORLD. THESE FIRST TWO CHAPTERS PROVIDE SUCH A FRAMEWORK. CHAPTER 1 DESCRIBES WHAT

BUSINESS ETHICS IS IN GENERAL AND EXPLAINS THE GENERAL ORIENTATION OF THE BOOK. CHAPTER 2

DESCRIBES SEVERAL SPECIFIC APPROACHES TO BUSINESS ETHICS, WHICH TOGETHER FURNISH A BASIS FOR

ANALYZING ETHICAL ISSUES IN BUSINESS.

 

 

 

3

What is “business ethics”?

What is corporate social responsibility?

Is ethical relativism right?

How does moral development happen?

What role do emotions have in ethical reasoning?

What are the impediments to moral behavior?

When is a person morally responsible for doing wrong?

Ethics and Business

1

3

In business the handshake is an expression of trust, and ethical behavior is the foundation of trust.

 

 

4 BASIC PRINCIPLES

Maybe the best way to introduce a discussion of business ethics is by looking at how a real company has incorporated ethics into its operations. Consider then how Merck & Co., Inc., a U.S. drug company, dealt with the issue of river blindness.

River blindness is a debilitating disease that has afflicted about 18 million impov- erished people living in remote villages along the banks of rivers in tropical regions of Africa and Latin America. The disease is caused by a tiny parasitic worm that is passed from person to person by the bite of the black fly, which breeds in fast-flowing river waters. The tiny worms burrow under a person’s skin, where they grow as long as 2 feet curled up inside ugly round nodules half an inch to an inch in diameter. Inside the nodules, the female worms reproduce by releasing millions of microscopic offspring called microfilariae that wriggle their way throughout the body moving beneath the skin, discoloring it as they migrate, and causing lesions and such intense itching that vic- tims sometimes commit suicide. Eventually, the microfilariae invade the eyes and blind the victim. In some West African villages, the parasite had already blinded more than 60 percent of villagers over fifty-five. The World Health Organization estimated that the disease had blinded 270,000 people and left another 500,000 with impaired vision.

Pesticides no longer stop the black fly because it has developed immunity to them. Moreover, until the events described below, the only drugs available to treat the parasite in humans were so expensive, had such severe side effects, and required such lengthy hospital stays that the treatments were impractical for the destitute victims who lived in isolated rural villages. In many countries, young people fled the areas along the rivers, abandoning large tracts of rich fertile land. Villagers who stayed to live along the rivers accepted the nodules, the torturous itching, and eventual blind- ness as an inescapable part of life.

In 1980, Dr. Bill Campbell and Dr. Mohammed Aziz, research scientists working for Merck, discovered evidence that one of the company’s best-selling animal drugs, Ivermectin, might kill the parasite that causes river blindness. Dr. Aziz, who had once worked in Africa and was familiar with river blindness, traveled to Dakar, Senegal, where he tested the drug on villagers who had active infections. Astonishingly, he discovered that a single dose of the drug not only killed all the microfilariae, it also made the fe- male worms sterile and made the person immune to new infections for months. When Aziz returned to the United States, he and Dr. Campbell went to see Merck’s head of research and development, Dr. P. Roy Vagelos, a former physician. They showed him their results and recommended that Merck develop a human version of the drug.

At the time, it cost well over $100 million to develop a new drug and test it in the large-scale clinical studies the U.S. government required. Roy Vagelos realized that even if they succeeded in developing a human version of the drug for the victims of river blindness, “It was clear that we would not be able to sell the medicine to these people, who would not be able to afford it even at a price of pennies per year.” 1 And even if the drug was affordable, it would be almost impossible to get it to most of the people who had the disease since they lived in remote areas without access to doctors, hospitals, clinics, or drug stores. Moreover, if the drug had bad side effects for hu- mans, these could threaten sales of the animal version of the drug, which were about $300 million a year. Finally, if a cheap version of the human drug was made available, it could be smuggled through black markets and resold for use on animals, thereby undermining the company’s sales of Ivermectin to veterinarians.

Although Merck had worldwide sales of $2 billion a year, its net income as a percent of sales had been in decline due to the rapidly rising costs of developing new drugs, the increasingly restrictive and costly regulations being imposed by govern- ment agencies, a lull in basic scientific breakthroughs, and a decline in the produc- tivity of company research programs. The U.S. Congress was getting ready to pass

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Listen to the Chapter Audio on mythinkinglab.com

 

 

ETHICS AND BUSINESS 5

the Drug Regulation Act, which would intensify competition in the drug industry by allowing competitors to more quickly copy and market drugs originally developed by other companies. Medicare had recently put caps on reimbursements for drugs and required cheaper generic drugs in place of the branded-name drugs that were Merck’s major source of income. In the face of these worsening conditions in the drug indus- try, was it a good idea for Merck to undertake an expensive project that showed little economic promise? On top of all this, Vagelos later wrote:

There was a potential downside for me personally. I hadn’t been on the job very long and I was still learning how to promote new drug development in a corporate setting. While we had some big innovations in our pipeline, I was still an unproven rookie in the business world. I would be spending a consid- erable amount of company money in a field, tropical medicine, that few of us other than Mohammed Aziz knew very well . . . CEO Henry Gadsden had become worried—with good cause—about Merck’s pipeline of new products, and he had hired me to solve that problem. It was as obvious to me as it was to Mohammed and Bill that even if Ivermectin was successful against river blindness, the drug wasn’t going to pump up the firm’s revenue and make the stockholders happy. So I was being asked to take on some risk for myself and for the laboratories. 2

Vagelos knew he was faced with a decision that, as he said, “had an important ethical component.” Whatever the risk to the company and his career, it was clear that without the drug, millions would be condemned to lives of intense suffering and partial or total blindness. After talking it over with Campbell, Aziz, and other manag- ers, Vagelos came to the conclusion that the potential human benefits of a drug for river blindness were too significant to ignore. In late 1980, he approved a budget that provided the money needed to develop a human version of Ivermectin.

It took seven years for Merck to develop a human version of Ivermectin. The company named the human version Mectizan. A single pill of Mectizan taken once a year could eradicate from the human body all traces of the parasite that caused river blindness and prevented new infections. Unfortunately, exactly as Vagelos had earlier suspected, no one stepped forward to buy the miraculous new pill. Over the next sev- eral years, Merck officials—especially Vagelos who by then was Merck’s chief execu- tive officer (CEO)—pleaded with the World Health Organization (WHO), the U.S. government, and the governments of nations afflicted with the disease, asking that someone—anyone—come forward to buy the drug to protect the 100 million people who were at risk for the disease. None responded to the company’s pleas.

When it finally became clear no one would buy the drug, the company decided to give Mectizan away for free to victims of the disease. 3 Yet, even this plan proved dif- ficult to implement because, as the company had earlier suspected, there were no es- tablished distribution channels to get the drug to the people who needed it. Working with the WHO, therefore, the company financed an international committee to pro- vide the infrastructure to distribute the drug safely to people in the Third World and to ensure that it would not be diverted into the black market to be sold for use on ani- mals. Paying for these activities raised the amount it invested in developing, testing, and now distributing Mectizan to well over $200 million, without counting the cost of manufacturing the drug itself. By 2010, Merck had given away more than 2.5 billion tablets of Mectizan worth approximately $3.5 billion and was providing the drug for free to 80 million people a year in Africa, Latin America, and the Middle East. Besides using the drug to relieve the intense sufferings of river blindness, the company had expanded the program to include the treatment of elephantiasis, a parasitic disease

 

 

6 BASIC PRINCIPLES

that often coexists with river blindness which Merck researchers discovered could also be treated with Mectizan. By 2010, over 300 million people had received Mectizan to treat elephantiasis and 70 million more received it the following year.

When asked why the company invested so much money and effort into re- searching, developing, manufacturing, and distributing a drug that makes no money, Dr. Roy Vagelos, CEO of the company, replied that once the company suspected that one of its animal drugs might cure a severe human disease that was ravaging people, the only ethical choice was to develop it. Moreover, people in the Third World “will remember” that Merck helped them, he commented, and will respond favorably to the company in the future. 4 Over the years, the company had learned that such ac- tions have strategically important long-term advantages. “When I first went to Japan 15 years ago, I was told by Japanese business people that it was Merck that brought streptomycin to Japan after World War II to eliminate tuberculosis which was eating up their society. We did that. We didn’t make any money. But it’s no accident that Merck is the largest American pharmaceutical company in Japan today.” 5

Having looked at how Merck dealt with its discovery of a cure for river blindness, let us now turn to the relationship between ethics and business. Pundits sometimes quip that business ethics is a contradiction in terms—an “oxymoron”—because there is an inherent conflict between ethics and the self-interested pursuit of profit. When ethics conflicts with profits, they imply, businesses always choose profits over eth- ics. Yet, the case of Merck suggests a different perspective—a perspective that many companies are increasingly taking. The managers of this company spent $200 mil- lion developing a product that they knew had little chance of ever being profitable because they felt they had an ethical obligation to make its potentially great benefits available to people. In this case, at least, a large and very successful business seems to have chosen ethics over profits. Moreover, the comments of Vagelos at the end of the case suggest that, in the long run, there may be no inherent conflict between ethical behavior and the pursuit of profit. On the contrary, the comments of Vagelos suggest that ethical behavior creates the kind of goodwill and reputation that expand a com- pany’s opportunities for profit.

Not all companies operate like Merck, and Merck itself has not always operated ethically. Many—perhaps most—companies will not invest in a research and develop- ment project that will probably be unprofitable even if it promises to benefit humanity. Every day newspapers announce the names of companies that choose profits over ethics or that, at least for a time, profited through unethical behavior—Enron, Worldcom, Global Crossing, Rite-Aid, Oracle, ParMor, Adelphia, Arthur Andersen, Louisiana- Pacific, and Qwest—are but a few of these. In 2004, even Merck was accused of failing to disclose heart problems associated with its drug Vioxx, and in 2010 the company put $4.85 billion into a fund to compensate patients who said they had suffered heart at- tacks or strokes because they had used Vioxx. (In spite of its significant lapse in regard to Vioxx, Merck has remained committed to operate ethically and has continued to win dozens of awards for its openness and ethically responsible operations.) 6

Although there are many companies that at one time or another have engaged in unethical behavior, habitually unethical behavior is not necessarily a good long-term business strategy for a company. For example, ask yourself whether, as a customer, you are more likely to buy from a business that you know is honest and trustworthy or one that has earned a reputation for being dishonest and crooked. Ask yourself whether, as an employee, you are more likely to loyally serve a company whose ac- tions toward you are fair and respectful or one that habitually treats you and other workers unjustly and disrespectfully. Clearly, when companies are competing against each other for customers and for the best workers, the company with a reputation for ethical behavior has an advantage over one with a reputation for being unethical.

 

 

ETHICS AND BUSINESS 7

This book takes the view that ethical behavior is the best long-term business strategy for a company—a view that has become increasingly accepted during the last few years. 7 This does not mean that occasions never arise when doing what is ethical will prove costly to a company. Such occasions are common in the life of a company, and we will see many examples in this book. Nor does it mean that ethical behavior is always rewarded or that unethical behavior is always punished. On the contrary, unethical behavior sometimes pays off, and the good guy sometimes loses. To say that ethical behavior is the best long-range business strategy just means that, over the long run and for the most part, ethical behavior can give a company significant competitive advantages over companies that are not ethical. The example of Merck suggests being ethical is good business strategy, and a bit of reflection on how we, as consumers and employees, respond to companies that behave unethically supports the view that un- ethical behavior leads to a loss of customer and employee support. Later, we will see what more can be said for or against the view that ethical behavior is the best long- term business strategy for a company.

The more basic problem is, of course, that the ethical course of action is not always clear to a company’s managers. In the Merck case, Roy Vagelos decided that the company had an ethical obligation to proceed with the development of the drug. Yet to someone else the issue may not have been so clear. Vagelos notes he would be “spending a considerable amount of company money” in a way that would not “make stockholders happy” and that would put his own career at “some risk.” Don’t the managers of a company have a duty toward investors and shareholders to invest their funds in a profitable manner? Indeed, if a company spent all of its funds on chari- table projects that lost money, wouldn’t it soon be out of business? Then, wouldn’t its shareholders be justified in claiming that the company’s managers had spent their money unethically? And should Vagelos have risked his career, with the implications this had for his family? Is it so clear, then, that Vagelos had an ethical obligation to invest in an unprofitable drug? What reasons can be given for his belief that Merck had an obligation to develop the drug? Can any good reasons be given for the claim that Merck had no such obligation? Which view do you think is supported by the strongest reasons?

Although ethics may be the best policy, then, the ethical course of action is not always clear. The purpose of this book is to help you, the reader, deal with this lack of clarity. Although many ethical issues remain difficult and obscure even after a lot of study, gaining a better understanding of ethics will help you deal with ethical uncer- tainties in a more adequate and informed manner.

This text aims to clarify the ethical issues that you may face when you work in a business and perhaps, become part of a company’s management team. This does not mean that it is designed to give you moral advice nor that it is aimed at persuad- ing you to act in certain “moral” ways. The main purpose of the text is to provide you with a deeper knowledge of the nature of ethical principles and concepts along with an understanding of how you can use this knowledge to deal with the ethical choices you will encounter in the business world. This type of knowledge and skill should help you steer your way through ethical decisions like the one Vagelos had to make. Everyone in business is confronted with decisions like these, although usually not as significant as deciding whether to pursue a potential cure for river blindness. Before you even start working for a company, for example, you will be faced with ethical decisions about how “creative” your resume should be. Later, you may have to decide whether to cut corners just a little in your job, or whether to give your rela- tive or friend a company contract, or whether to put a little extra into the expenses you report for a company trip you made. Or maybe you will catch a friend stealing from the company and have to decide whether to turn him in, or you will find out

 

 

8 BASIC PRINCIPLES

your company is doing something illegal and have to decide what you are going to do about it, or maybe your boss will ask you to do something you think is wrong. Ethical choices confront everyone in business, and this text hopes to give you some ways of thinking through these choices.

The first two chapters will introduce you to some methods of moral reasoning and some fundamental moral principles that can be used to analyze moral issues in business, as well as some of the obstacles that can get in the way of thinking clearly about ethical issues. The following chapters apply these principles and methods to the kinds of moral dilemmas that confront people in business. We begin in this chapter by discussing three preliminary topics: (1) the nature of business ethics and some of the issues it raises, (2) moral reasoning and moral decision-making, and (3) moral re- sponsibility. Once these notions have been clarified, we devote the next chapter to a discussion of some basic theories of ethics and how they relate to business.

1.1 The Nature of Business Ethics

According to the dictionary, the term ethics has several meanings. One of the mean- ings given to it is: “the principles of conduct governing an individual or a group.” 8 We sometimes use the term personal ethics , for example, when referring to the rules by which an individual lives his or her personal life. We use the term accounting ethics when referring to the code that guides the professional conduct of accountants.

A second—and for us more important—meaning of ethics according to the dic- tionary is this: Ethics is “the study of morality.” Just as chemists use the term chemistry to refer to a study of the properties of chemical substances, ethicists use the term ethics to refer primarily to the study of morality. Although ethics deals with morality, it is not quite the same as morality. Ethics is a kind of investigation—and includes both the activity of investigating as well as the results of that investigation—whereas mo- rality is the subject matter that ethics investigates.

Morality

So what, then, is morality? We can define morality as the standards that an individual or a group has about what is right and wrong, or good and evil. To clarify what this means, let’s consider another case, one that is a bit different from the Merck case.

Several years ago, B. F. Goodrich, a manufacturer of vehicle parts, won a military contract to design, test, and manufacture aircraft brakes for the A7-D, a new light airplane the U.S. Air Force was designing. To conserve weight, Goodrich managers guaranteed that their compact brake would weigh no more than 106 pounds, contain no more than four small braking disks or “rotors,” and be able to repeatedly stop the aircraft within a specified distance. The contract was potentially very lucrative for the company and so its managers were anxious to deliver a brake hat “qualified,” that is, that passed all the tests the U.S. Air Force required for the A7-D.

An older Goodrich engineer, John Warren, designed the brake. A young engi- neer named Searle Lawson was given the job of determining the best material to use as the brake lining and testing the brake to make sure it “qualified.” Searle Lawson was in his twenties. He had just graduated from school with an engineering degree and Goodrich had only recently hired him.

Lawson built a “prototype”—a working model—of the small brake to test lining materials. He found that when the brake was applied, the linings on the four rotors heated up to 1500 degrees and began disintegrating. When he tried other linings and

morality The standards that an individual or a group has about what is right and wrong or good and evil.

 

 

ETHICS AND BUSINESS 9

got the same results, Lawson went over Warren’s design and decided it was based on a mistake. By his own calculations, there was not enough surface area on the ro- tors to stop an airplane in the required distance without generating so much heat the linings failed. Lawson went to Warren, showed him his calculations and suggested Warren’s design should be replaced with a new design for a larger brake with five rotors. Warren rejected the suggestion that his design was based on a mistake that a “green kid” just out of engineering school had discovered. He told Lawson to keep trying different materials for brake linings until he found one that worked.

But Lawson was not ready to give up. He went to talk with the manager in charge of the project and showed him his calculations. The project manager had repeat- edly promised his own superiors that development of the brake was on schedule and knew he would probably be blamed if the brake was not delivered as he had promised. Moreover, he probably felt he should trust Warren who was one of his best engineers, rather than someone just out of engineering school. The project manager told Law- son that if Warren said the brake would work, then it would work. He should just keep trying different materials like Warren told him to do. Lawson left the project manager feeling frustrated. If he did not have the support of his superiors, he thought, he would just keep working with the brake Warren designed.

Several weeks later Lawson still had not found a lining that would not disinte- grate on the brake. He spoke with his project manager again. This time his project manager told him to just put the brake through the tests required to “qualify” it for use on the A7-D airplane. Then, the manager told him in no uncertain terms that no matter what, he was to make the brake pass all its qualifying tests. His manager’s or- ders shook Lawson and he later shared his thoughts with Kermit Vandivier, a techni- cal writer who had been assigned to write a report on the brake:

I just can’t believe this is really happening. This isn’t engineering, at least not what I thought it would be. Back in school I thought that when you were an engineer you tried to do your best, no matter what it cost. But this is something else. I’ve already had the word that we’re going to make one more attempt to qualify the brake and that’s it. Win or lose, we’re going to issue a qualification report. I was told that regardless of what the brake does on tests, it’s going to be qualified. 9

Lawson put together a production model of the brake and ran it through the tests a dozen times. It failed every time. On the thirteenth attempt, Lawson “nursed” the brake through the tests by using special fans to cool the brake and by taking it apart at each step, cleaning it carefully, and fixing any distortions caused by the high heat. At one point, a measuring instrument was apparently deliberately miscalibrated so it indicated that the pressure applied on the brake was 1000 pounds per square inch (the maximum available to the pilot in the A7-D aircraft) when the pressure was actually 1100 pounds per square inch.

Kermit Vandivier, who was to write the final report on the tests, was also trou- bled. He talked the testing over with Lawson who said that he was just doing what the project manager had ordered him to do. Vandiver decided to talk with the senior ex- ecutive in charge of his section. The executive listened, but then said, “It’s none of my business and it’s none of yours.” Vandivier asked him whether his conscience would bother him if during flight tests on the brake something should happen resulting in death or injury to the test pilot. The Goodrich executive answered, “Why should my conscience bother me? . . . I just do as I’m told, and I’d advise you to do the same.” 10

When Kermit Vandivier was told to write up a report that concluded the brake had passed all qualifying tests, he refused. Such a report, he felt, would amount to

 

 

10 BASIC PRINCIPLES

“deliberate falsifications and misrepresentations” of the truth. 11 But a short time later, he changed his mind. He later said:

My job paid well, it was pleasant and challenging, and the future looked rea- sonably bright. My wife and I had bought a home . . . If I refused to take part in the A7-D fraud, I would have to either resign or be fired. The report would be written by someone anyway, but I would have the satisfaction of knowing I had had no part in the matter. But bills aren’t paid with personal satisfaction, nor house payments with ethical principles. I made my decision. The next morning I telephoned [my superior] and told him I was ready to begin the qualification report. 12

Lawson and Vandivier wrote the final report together. “Brake pressure, torque values, distances, times—everything of consequence was tailored to fit” the conclu- sion that the brake passed the qualifying tests. 13 A few weeks after Goodrich pub- lished their report, the U.S. Air Force put the brakes on A7-D test planes and pilots began flying them.

Below, we will talk about what happened when test pilots flew the planes equipped with the Goodrich brakes. At this point, note that Lawson believed that as an engi- neer he had an obligation “to do your best, no matter what it cost,” and that Vandi- vier believed it was wrong to lie and to endanger the lives of others, and believed also that integrity is good and dishonesty is bad. These beliefs are all examples of moral standards. Moral standards include the norms we have about the kinds of actions we believe are morally right and wrong, as well as the values we place on what we believe is morally good or morally bad. Moral norms can usually be expressed as general rules about our actions, such as “Always tell the truth,” “It’s wrong to kill innocent people,” or “Actions are right to the extent that they produce happiness.” Moral values can usually be expressed with statements about objects or features of objects that have worth, such as “Honesty is good,” and “Injustice is bad.”

Where do moral standards come from? Typically, moral standards are first learned as a child from family, friends, and various societal influences such as church, school, television, magazines, music, and associations. Later, as we ma- ture, our experience, learning, and intellectual development will lead us to think about, evaluate, and revise these standards according to whether we judge them to be reasonable or unreasonable. You may discard some standards that you decide are unreasonable, and may adopt new standards because you come to believe they are more reasonable than the ones you previously accepted. Through this maturing process, you develop standards that are more rational and so more suited for deal- ing with the moral issues of adult life. As Lawson and Vandivier’s example shows, however, we do not always live up to the moral standards we hold; that is, we do not always do what we believe is morally right nor do we always pursue what we believe is morally good. Later in the chapter, we will look at how our actions can become disconnected from our moral beliefs.

Moral standards can be contrasted with norms or standards we hold about things that are not moral. Examples of nonmoral standards and norms (sometimes also called “conventional” standards and norms) include the standards of etiquette by which we judge people’s manners as good or bad, the rules of behavior set by parents, teachers, or other authorities, the norms we call the law by which we determine what is legally right and wrong, the standards of language by which we judge what is gram- matically right and wrong, the standards of art by which we judge whether a painting or a song is good or bad, and the sports standards by which we judge how well a game of football or basketball is being played. In fact, whenever we make judgments about

moral standards The norms about the kinds of actions believed to be morally right and wrong as well as the values placed on what we believe to be morally good and morally bad.

nonmoral standards The standards by which we judge what is good or bad and right or wrong in a nonmoral way.

 

 

ETHICS AND BUSINESS 11

the right or wrong way to do things, or judgments about what things are good and bad, or better and worse, our judgments are based on standards or norms of some kind. In Vandivier’s case, we can surmise that he probably believed that reports should be written with good grammar; that having a well-paid, pleasant, and challenging job was a good thing; and that it’s right to follow the law. The conventional norms of good grammar; the value of a well-paid, pleasant, and challenging job; and the laws of government are also standards, but these standards are not moral standards. As Vandivier’s decision demonstrates, we sometimes choose nonmoral standards over our moral standards.

How do we distinguish between moral and nonmoral or conventional standards? Before reading any further, look at the two lists of norms below and see if you can tell which is the list of moral norms and which is the list of nonmoral norms:

Quick Review 1.1

Moral Norms and Nonmoral Norms • From the age of three we

can distinguish moral from nonmoral norms.

• From the age of three we tend to think that moral norms are more serious than nonmoral norms and apply everywhere independent of what authorities say.

• The ability to distinguish moral from nonmoral norms is innate and universal.

Group One Group Two “Do not harm other people,” “Do not eat with your mouth open,” “Do not lie to other people,” “Do not chew gum in class,” “Do not steal what belongs to others.” “Do not wear sox that do not match.”

During the last two decades, numerous studies have shown that the human abil- ity to distinguish between moral norms and conventional or nonmoral norms emerges at a very early age and remains with us throughout life. 14 The psycholo- gist Elliot Turiel and several others have found that by the age of three, a normal child has acquired the ability to tell the difference between moral norms and con- ventional norms. By age three, the child sees violations of moral norms as more serious and wrong everywhere, while violations of conventional norms are less serious and wrong only where authorities set such norms. 15 For example, three year olds will say that while it is not wrong to chew gum at schools where teach- ers do not have a rule against it, it is still wrong to hit someone even at schools where teachers do not have a rule against hitting. Because this ability to distin- guish between moral and conventional norms develops in childhood, it was not just easy, but trivially easy for you to see that the norms in group one are moral norms, and those in group two are conventional. This innate ability to distinguish moral norms from conventional norms is not unique to Americans or Europeans or Westerners; it is an ability that every normal human being in every culture develops. 16 People in all cultures may not completely agree on which norms are moral norms (although there is a surprising amount of agreement) and which are conventional, but they all agree that the two are different and that the difference is extremely important.

So what is the difference between moral norms and nonmoral or conventional norms? This is not an easy question to answer even if three year olds seem to know the difference. However, philosophers have suggested six characteristics that help pin down the nature of moral standards (and psychologists like Elliot Turiel and others have drawn on the work of philosophers to help them distinguish moral from non- moral norms in their studies).

First, moral standards deal with matters that are serious, i.e., matters that we think can seriously wrong or significantly benefit human beings. 17 For example, most peo- ple in American society hold moral standards against theft, rape, enslavement, murder, child abuse, assault, slander, fraud, lawbreaking, and so on. All of these plainly deal with matters that people feel are serious forms of injury. Because they are about serious mat- ters, violating moral standards is seen as seriously wrong and we feel that the obliga- tion to obey moral standards has greater claim on us than conventional norms do. In

 

 

12 BASIC PRINCIPLES

the Goodrich case, it was clear that both Lawson and Vandivier felt that lying in their report and endangering the lives of pilots were both serious harms and so both were moral matters, whereas adhering to grammatical standards was not. And because the benefits of developing a cure for river blindness were so significant, Dr. Vaglos felt that Merck had an obligation to develop the medicine Mectizan.

Second, and strikingly, we feel that moral standards should be preferred to other values including (and perhaps especially) self-interest. 18 That is, if a person has a moral obligation to do something, then he or she is supposed to do it even if this conflicts with other, conventional norms or with self-interest. In the Goodyear case, for example, we feel that Lawson should have chosen the moral values of honesty and respect for life over the self-interested value of keeping his job. This does not mean, of course, that it is always wrong to act on self-interest; it only means that when we believe a certain standard or norm is a moral norm, then we also feel that it would be wrong to choose self-interest over the moral norm. This second characteristic of moral standards is related to the first since part of the reason why we feel that moral standards should be preferred to other considerations is because moral standards deal with serious matters.

Third, unlike conventional norms, moral standards are not established or changed by the decisions of authority figures or authoritative bodies. Laws and legal standards are established by the authority of a legislature or the decisions of voters while family norms and classroom norms are set by parents and teachers. Authorities do not estab- lish moral standards, however, nor does their validity rest on voters’ preferences, and so they cannot be changed by the decision of any person or group. Instead, the valid- ity of moral standards rests on whether the reasons that support and justify them are good or bad; when moral standards are based on good reasons, the standards are valid.

Fourth, moral standards are felt to be universal. 19 That is, if we genuinely hold that certain standards—such as “Do not lie” or “Do not steal”—are moral standards, then we will also feel that everyone should try to live up to those standards, and we will get upset when we see others transgressing them. When we learned that Bernard (“Bernie”) Madoff, and the managers of Enron and Lehman Brothers had all been ly- ing to us and to their investors, and that Pfizer managers stole at least $1 billion from taxpayers, while Tenet Healthcare and HCA managers stole almost as much, we did not feel that it was okay. for them to have violated our moral standards against lying and theft. We did not think: “It was okay for them to lie and steal, so long as they felt it was okay.” Nor did we think: “Although I feel lying and stealing is wrong, they do not have to abide by my moral standards.” On the contrary, the public got angry precisely because they felt that the standards against lying and stealing are moral standards, and so everyone has to abide by them, whether they want to or not. Conventional norms, on the other hand, are not seen as universal. Laws, for example, apply only within a specific jurisdiction; family rules are authoritative only within the family; game rules apply only to those playing the game, and so on.

Fifth, and generally, moral standards are based on impartial considerations. 20 The fact that you will benefit from a lie while others will be harmed is irrelevant to whether lying is morally wrong. Some philosophers have expressed this point by say- ing that moral standards are based on “the moral point of view”—that is, a point of view that does not evaluate standards according to whether they advance the inter- ests of a particular individual or group, but one that goes beyond personal interests to a “universal” standpoint in which everyone’s interests are impartially counted as equal. 21 Other philosophers have made the same point by saying that moral standards are based on the kinds of impartial reasons that an “ideal observer” or an “impar- tial spectator” would accept, or that in deciding moral matters “each counts for one and none for more than one.” 22 As we are going to see in the next chapter, however,

Quick Review 1.2

Six Characteristics of Moral Standards • Involve serious wrongs or

significant benefits • Should be preferred to

other values including self-interest

• Not established by authority figures

• Felt to be universal • Based on impartial

considerations • Associated with special

emotions and vocabulary

 

 

ETHICS AND BUSINESS 13

although impartiality is a characteristic of moral standards, it must be balanced with certain kinds of partiality, in particular, with the partiality that arises from legitimate caring for those individuals with whom you have a special relationship, such as fam- ily members and friends. Morality says that we should be impartial in those contexts where justice is called for, such as when we are setting salaries in a public company. But morality also identifies certain contexts, such as taking care of family members, where preferential caring for individuals can be morally legitimate and perhaps, even morally required.

Last, moral standards are associated with special emotions and a special vocabulary. 23 For example, if I act contrary to a moral standard, I will normally feel guilty, ashamed, or remorseful; I will describe my behavior as “immoral” or “wrong,” and I will feel bad about myself and experience a loss of self-esteem. A careful reading of Lawson’s and Vandivier’s statements, for example, suggests that they felt ashamed and guilty about what they were doing. And when we see others acting contrary to a moral standard we accept, we normally feel indignation, resentment, or even disgust toward those persons; we say that they are not “living up” to their “moral obligations” or their “moral responsibilities” and we may esteem them less. This is perhaps what you felt when reading about what Lawson and Vandivier did.

Moral standards, then, are standards that deal with matters that we think are of serious consequence, are based on good reasons and not on authority, override self- interest, are based on impartial considerations, and are associated with special feelings such as guilt and shame, and with a special moral vocabulary such as “obligation,” or “responsibility.” We learn these standards as children from a variety of influences and revise them as we go through our lives.

Ethics

What, then, is ethics? Ethics is the discipline that examines your moral standards or the moral standards of a society. It asks how these standards apply to your life and whether these standards are reasonable or unreasonable—that is, whether they are supported by good reasons or poor ones. So you start to do ethics when you take the moral standards you have absorbed from family, church, and friends and ask yourself: What do these standards imply for the situations in which I find myself? Do these standards really make sense? What are the reasons for or against these standards? Why should I continue to believe in them? What can be said in their favor and what can be said against them? Are they really reasonable for me to hold? Are their impli- cations in this or that particular situation reasonable?

Take Vandivier and the B. F. Goodrich case as an example. Vandivier had appar- ently been raised to accept the moral standard that one has an obligation to tell the truth, and so he felt that in his particular situation, it would be wrong to write a false report on the brake. But we might ask whether writing what he felt was a false re- port was really wrong in his particular circumstances. Vandivier had several important financial obligations both toward himself and other people. He states, for example, that he had just married and bought a house, so he had mortgage payments to make each month and had to provide support for his family. If he did not write the report as he was ordered to do, then he would be fired and not be able to live up to these obligations. Do these moral obligations toward himself and his family outweigh his obligation not to write a false report? What is the basis of his obligation to tell the truth, and why is the obligation to tell the truth greater or lesser than a person’s obli- gations toward oneself and one’s family? Consider, next, Lawson’s obligations toward his employer, B. F. Goodrich. Doesn’t an employee have a moral obligation to obey his employer? Does the obligation to obey one’s employer outweigh the obligation to

Ethics The discipline that examines one’s moral standards or the moral standards of a society to evaluate their reasonableness and their implications for one’s life.

 

 

14 BASIC PRINCIPLES

“try to do your best” as an engineer? What is the source of both of these obligations, and what makes one greater or lesser than another? Consider, also, that the company and all its older and more experienced managers insisted that the best course of action was to write the report qualifying the brake. If something went wrong with the brake or the contract, B. F. Goodrich would be held accountable, not Lawson, who was a young and relatively low-level employee. Because the company, not Lawson, would be held accountable, did the company have the moral right to make the final decision about the report, instead of Lawson, who had just finished college? Does the moral right to make a decision belong to the party that will be held accountable for the deci- sion? What is the basis of such a right, and why should we accept it? Consider, finally, that Vandivier states that, in the end, his personal refusal to participate in writing the report would have given him some “satisfaction,” but would have made no difference to what happened because someone else would have been hired to write the report. Because the consequences would be the same whether he agreed or refused, did he really have a moral obligation to refuse? Can one have a moral obligation to do some- thing that will make no difference? Why?

Notice the sort of questions to which we are led by the choices Vandivier and Lawson faced. They are questions about whether it is reasonable to apply various moral standards to their situation, whether it is reasonable to say that one moral stan- dard is more or less important than another, and what reasons we might have to hold these standards. When you ask these kinds of questions about your own moral stan- dards or about the moral standards of your society, you have started to do ethics. Eth- ics is the study of moral standards—the process of examining the moral standards you or your society (or other societies) hold in order to determine whether these standards are reasonable or unreasonable and how, if at all, they apply to the concrete situations and issues you face. The ultimate aim of ethics is to develop a body of moral standards that you feel are reasonable for you to hold—standards that you have thought about carefully and have decided are justified for you to accept and to apply to the choices that fill our lives.

Ethics is not the only way to study morality. The social sciences—such as an- thropology, sociology, and psychology—also study morality, but do so in a way that is different from the approach to morality that ethics takes. While ethics is a norma- tive study of morality, the social sciences engage in a descriptive study of morality. A normative study is an investigation that tries to reach normative conclusions—that is, conclusions about what things are good or bad or about what actions are right or wrong. In short, a normative study aims to discover what ought to be. As we have seen, ethics is the study of moral standards whose explicit purpose is to determine as far as possible which standards are correct or supported by the best reasons, and so it tries to reach conclusions about moral right and wrong and moral good and evil.

A descriptive study is one that does not try to reach any conclusions about what things are truly good or bad or right or wrong. Instead, a descriptive study tries to de- scribe or explain the world without reaching any conclusions about whether the world is as it ought to be. Anthropologists and sociologists, for example, may study the moral standards that a particular village or culture holds. In doing so, they try to develop accurate descriptions of the moral standards of that culture and perhaps, develop a theory that explains how they came to hold those standards. However, it is not the aim of anthropologists or sociologists to determine whether these moral standards are correct or incorrect.

Ethics, in contrast, is a study of moral standards whose explicit purpose is to de- termine as far as possible whether a given moral standard (or moral judgment based on that standard) is more or less correct. The sociologist asks, “Do Americans believe that bribery is wrong?” whereas the ethicist asks, “Is bribery wrong?” The ethicist,

normative study An investigation that attempts to reach conclusions about what things are good or bad or about what actions are right or wrong.

descriptive study An investigation that attempts to describe or explain the world without reaching any conclusions about whether the world is as it should be.

 

 

ETHICS AND BUSINESS 15

then, is concerned with developing reasonable normative claims and theories, whereas an anthropological or sociological study of morality aims at providing descriptive characterizations of people’s beliefs.

Business Ethics

What we have said about ethics so far has been meant to convey an idea of what ethics is. Here, however, we are not concerned with ethics in general, but with a particular field of ethics: business ethics. Business ethics is a specialized study of moral right and wrong that focuses on business institutions, organizations, and activities. Busi- ness ethics is a study of moral standards and how these apply to the social systems and organizations through which modern societies produce and distribute goods and services, and to the activities of the people who work within these organizations. Busi- ness ethics, in other words, is a form of applied ethics. It not only includes the analysis of moral norms and moral values, but also tries to apply the conclusions of this analy- sis to that assortment of institutions, organizations, and activities that we call business .

As this description of business ethics suggests, the issues that business ethics covers encompass a wide variety of topics. To introduce some order into this variety, it will help if we keep separate three different kinds of issues that business ethics investigates: systemic, corporate, and individual issues. Systemic issues in business ethics are ethical questions raised about the economic, political, legal, and other institutions within which businesses operate. These include questions about the morality of capitalism or of the laws, regulations, industrial structures, and social practices within which U.S. businesses operate. One example would be questions about the morality of the government con- tracting system through which B. F. Goodrich was allowed to test the adequacy of its own brake design for the A7-D. Another example would be questions about the moral- ity of the international institutions with which Merck was forced to deal when it was looking for a way to get its cure for river blindness to the people who needed it most.

Corporate issues in business ethics are ethical questions raised about a particu- lar organization. These include questions about the morality of the activities, poli- cies, practices, or organizational structure of an individual company taken as a whole. One set of examples of this kind of issue would be questions about the morality of B. F. Goodrich’s corporate culture or questions about the company’s corporate deci- sion to “qualify” the A7-D brake. For example, did the Goodrich Company violate anyone’s rights when it qualified the brake? What impact did the company’s actions have on the welfare of the parties with whom it interacted? Were the company’s actions just or unjust to other parties? Another set of examples would be questions about the morality of Merck’s corporate decision to invest so many millions of dol- lars in a project that would probably not generate any profits. In doing this, did the company violate the rights of its stockholders? Was Merck’s action fair and just to the various parties it affected? Yet other questions might be directed at B. F. Goodrich’s corporate policies: Were ethics concerns part of its ongoing decision-making pro- cess? Did the company encourage or discourage employee discussions of how their decisions might impact the moral rights of other people?

Finally, individual issues in business ethics are ethical questions raised about a particular individual or particular individuals within a company and their behaviors and decisions. These include questions about the morality of the decisions, actions, or character of an individual. An example would be the question of whether Vandivier’s decision to participate in writing a report on the A7-D brake, which he believed was false, was morally justified. A second example would be the question of whether it was moral for Merck’s chair, Dr. P. Roy Vagelos, to allow his researchers to develop a drug that would probably not generate any profits.

business ethics A specialized study of moral right and wrong that concentrates on moral standards as they apply to business institutions, organizations, and behavior.

Quick Review 1.3

Business Ethics Is a Study of • Our moral standards

insofar as these apply to business

• How reasonable or unreasonable these moral standards we have absorbed from society are

• The implications our moral standards have for business activities.

 

 

16 BASIC PRINCIPLES

It is helpful when analyzing the ethical issues raised by a concrete situation or case to sort out the issues in terms of whether they are systemic , corporate , or individual issues. Often, the world presents us with decisions that involve a large number of extremely complicated interrelated kinds of issues that can cause confusion, unless the different kinds of issues are first carefully sorted out and distinguished from each other. Moreover, the kinds of solutions that are appropriate for dealing with systemic or corporate issues are not the same as the kinds of solutions that are appropriate for dealing with individual issues. If a company is trying to deal with a systemic issue— such as a government culture that permits bribery—then the issue must be dealt with on a systemic level; that is, it must be dealt with through the coordinated actions of many different social groups. On the other hand, corporate ethical issues can be solved only through corporate or company solutions. If a company has a culture that encourages moral wrongdoing, for example, then changing that culture requires the cooperation of the many different people that make up the company. Finally, indi- vidual ethical issues need to be solved through individual decisions and actions, and, perhaps, individual reform.

So what happened after Searle Lawson and Kermit Vandivier turned in their report and the U.S. Air Force put the Goodrich brakes on planes flown by their test pilots? Lawson was sent as Goodrich’s representative to Edwards Air Force Base in California where the test flights took place. There, he watched as the brakes caused several near crashes when the pilots tried to land the planes. In one case, he saw an airplane go skidding down the runway when the pilot’s braking produced such intense heat inside the brake that its parts fused together and the wheels locked up. Surprisingly, none of the pilots were killed. When Lawson returned home, both he and Vandivier quit and notified the F.B.I. of what had been going on; this was their way of dealing with the individual issues their actions had raised. A few days later, Goodrich announced that it was replacing the small brake with a larger five-disk brake at no extra charge to the U.S. government, and in this way they tried to deal with the corporate issues the brake incident had created. About a year later, Lawson and Vandivier came before the U.S. Congress and testified about their experiences at Goodrich. Shortly thereafter, the U.S. Department of Defense changed the way it let companies test equipment so that it became harder for companies to submit fraudulent reports. These changes were responses to a key systemic issue that became obvious once the truth came out.

Applying Ethical Concepts to Corporations

The statement that business ethics applies ethical or moral concepts to corporate organizations raises a puzzling issue. Can we really say that the acts of organizations are moral or immoral in the same way that the actions of human individuals are? Can we say that corporations are morally responsible for their acts in the same sense that individuals are morally responsible for what they do? Or must we say that it makes no sense to apply moral terms to organizations as a whole, but only to the individuals who make up the organization? A few years ago, for example, employees of Arthur Andersen, an accounting firm, were caught shredding documents potentially prov- ing that Arthur Anderson accountants had helped Enron hide its debt through the use of several accounting tricks. The U.S. Justice Department then charged the now- defunct firm of Arthur Andersen with obstruction of justice, instead of charging the employees who shredded the documents. Critics afterward claimed that the U.S. Justice Department should have charged the individual employees of Arthur Andersen, not the company, because “Companies don’t commit crimes, people do.” 24 Can moral notions like responsibility , wrongdoing , and obligation be applied to groups such as cor- porations, or are individuals the only real moral agents?

Quick Review 1.4

Kinds of Ethical Issues • Systemic—ethical

questions about the social, political, legal, or economic systems within which companies operate

• Corporate—ethical questions about a particular corporation and its policies, culture, climate, impact, or actions

• Individual—ethical questions about a particular individual’s decisions, behavior, or character

 

 

ETHICS AND BUSINESS 17

Two views have emerged in response to this question. 25 At one extreme, is the view of those who argue that if we can say that something acted and that it acted intentionally , then we can say that thing is a “moral agent”; that is, it is an agent capable of having moral rights and obligations and being morally responsible for its actions, just like humans. The argument for this view goes like this: We can clearly say that corporations engage in actions and that they carry out those actions intentionally . Com- panies, for example, can “merge” together, make contracts, compete against other companies, and make products. And these things do not just happen: companies seem to do these things “intentionally.” But if an agent can act intentionally, then it can be morally responsible for its actions and it can be blamed when it does what is mor- ally wrong. It follows, therefore, that corporations are “morally responsible” for their actions, and that their actions are “moral” or “immoral” in exactly the same sense as those of an individual. The major problem with this argument, however, is that orga- nizations do not seem to “act” or “intend” in the same sense that people do. Unlike individuals, organizations have no minds to form “intentions” and are conscious of neither pain nor pleasure nor anything else; and unlike individuals organizations do not act on their own but instead humans must act for them.

At the other extreme, is the view of those who hold that it makes no sense to hold companies “morally responsible” or to say that they have “moral” duties. These peo- ple argue that business organizations are the same as machines whose members must blindly conform to formal rules that have nothing to do with morality. Consequently, it makes no more sense to hold organizations “morally responsible” for failing to fol- low moral standards than it makes to criticize a machine for failing to act morally. But the major problem with this second view is that, unlike machines, at least some of the members of organizations usually know what they are doing and are free to choose whether to follow the organization’s rules or even to change these rules. When an organization’s members collectively, but freely and knowingly pursue immoral objec- tives, it ordinarily makes good sense to say that the actions they performed on behalf of the corporation are “immoral” and that the organization is “morally responsible” for these immoral actions.

Which of these two views is correct? Perhaps neither is correct. The underly- ing difficulty with which both views are trying to struggle is this: Although we say that corporate organizations “exist” and “act” like individuals, they obviously are not human individuals. Yet, our moral categories are designed to deal primarily with hu- man individuals who feel, reason, and deliberate, and who act on the basis of their own feelings, reasons, and deliberations. So, how can we apply these moral categories to corporate organizations and their “acts”? We can see our way through these dif- ficulties if we first note that corporate organizations and their acts depend on hu- man individuals. Because corporate acts originate in the choices and actions of human individuals, it is these individuals who are the primary bearers of moral duties and responsibility. Human individuals are responsible for what the corporation does be- cause corporate actions flow wholly out of their decisions and behaviors. If a cor- poration acts wrongly, it is because of what some individual or individuals in that corporation chose to do; if a corporation acts morally, it is because some individual or individuals in that corporation chose to have the corporation act morally. As several law courts have held, the idea that the actions of a corporation are the actions of some “person” who is separate from the humans who carry out those actions, is a “legal fiction.” 26 This fiction is set aside (by “piercing the corporate veil”) when justice re- quires that those humans who really carried out the actions of the corporation should be held responsible for injuries “the corporation” caused. 27

Nonetheless, it makes perfectly good sense to say that a corporate organization has moral duties and that it is morally responsible for its acts. However, organizations

Quick Review 1.5

Should Ethical Qualities be Attributed Only to People or Also to Corporations? • One view says

corporations, like people, act intentionally and have moral rights, and obligations, and are morally responsible.

• Another view says it makes no sense to attribute ethical qualities to corporations since they are not like people but more like machines; only humans can have ethical qualities.

• A middle view says that humans carry out the corporation’s actions so they are morally responsible for what they do and ethical qualities apply in a primary sense to them; corporations have ethical qualities only in a derivative sense.

 

 

18 BASIC PRINCIPLES

have moral duties and are morally responsible in a secondary or derivative sense. A cor- poration has a moral duty to do something only if some of its members have a moral duty to make sure it is done. And a corporation is morally responsible for something only if some of its members are morally responsible for what happened (i.e., they acted with knowledge and of their own free will—topics we will discuss later).

The central point is that when we apply the standards of ethics to business, we must not let the fiction of “the corporation” obscure the fact that human individuals control what the corporation does. Consequently, these human individuals are the primary carriers of the moral duties and moral responsibilities that we attribute in a secondary sense to the corporation. This is not to say, of course, that the human beings who make up a corporation are not influenced by each other and by their corporate environment. Corporate policies, corporate culture, and corporate norms all have an enormous influence on the behavior of corporate employees. However, a corpora- tion’s policies, culture, and norms do not make the employee’s choices for him (or her) and so they are not responsible for the actions of that employee. We will return to this issue when we discuss moral responsibility toward the end of this chapter.

Objections to Business Ethics

We have described business ethics as the process of rationally evaluating our moral standards and applying them to business situations. However, many people raise objections to the very idea of applying moral standards to business activities. In this section, we address some of these objections and also look at what can be said in favor of bringing ethics into business.

Occasionally people object to the view that ethical standards should be applied to the behavior of people in business organizations. Persons involved in business, they claim, should single-mindedly pursue the financial interests of their firm and not side- track their energies or their firm’s resources into “doing good works.” Three different kinds of arguments are advanced in support of this view.

First, some have argued that in perfectly competitive free markets, the pursuit of profit will by itself ensure that the members of society are served in the most socially beneficial ways. 28 To be profitable, each firm has to produce only what the members of society want and has to do this by the most efficient means available. The members of society will benefit most, then, if managers do not impose their own values on a business, but instead devote themselves to the single-minded pursuit of profit and thereby to producing efficiently what the members of society value.

 
"Looking for a Similar Assignment? Get Expert Help at an Amazing Discount!"

How did eBay pursue international growth?

1. (500 – 750 words) How did eBay pursue international growth? Consider Chapters 6 & 7.
2. (500 – 750 words) What source of competitive advantage does eBay have, and is that position supported by its resources and assets? Consider Chapters 2 – 5.
a. Does eBay deal effectively with its external environment in Asia?

 

 

Teaching Note: Case 38 eBay: Expanding into Asia

 

Case Objectives

 

  1. To discuss the decisions and actions that a firm has to undertake to sustain a competitive advantage, especially when pursuing international growth.

 

See the table below to determine where to use this case:

 

Chapter Use Key Concepts Additional Readings or Exercises
2: External Environment External environmental forces NOTE – additional reading, web links, embedded video. Also see Case DVD.
3: Internal Analysis Tangible vs. intangible resources  
4: Intellectual Assets Human capital; intellectual capital  
5: Business-Level Strategy Generic strategies  
6: Corporate-Level Strategy Corporate strategy; synergy; acquisition  
7: International Strategy International expansion; transnational, global strategies NOTE – additional reading, web links

 

Case Synopsis

 

Since its inception in 1995, eBay had enjoyed strong revenue growth, and was a dominant player in the worldwide online auction industy. In 2008, new CEO John Donahoe reported an impressive 11 percent increase in revenue from the previous year, with an operating margin of 24 percent. EBay created revenue from three sources through multiple online products and services: eBay’s marketplace received merchandise fees from items sold either by auction or fixed-price transaction; the payment division received financial transaction fees from its PayPal service; and communication fees were received primarily via customer use of Skype.

 

Despite eBay’s outstanding growth performance, achieved mainly through both foreign and U.S. acquisitions, the company still faced a number of challenges in both domestic and international markets.As a growth strategy, eBay had created options and targeted distinct market niches to distinguish itself from competitors. This was particularly important because as e-commerce and Internet usage rates continued to grow, so would the market opportunity for eBay. Because of its market-leading brand, eBay was in a unique position to capture a significant share of the market at an early stage. eBay had grown to successfully compete in certain international markets, including Europe and Latin America, but had been unable to penetrate the Asia Pacific market.

 

eBay’s joint ventures in Asia, first with Tom Online in China, and then with Gmarket in South Korea, had not yet allowed it to achieve significant market share. Considering that the Asia Pacific region had more than 50 percent of the world’s population and was experiencing some of the largest online usage growth percentages in the world, tapping into this market was critical for eBay to expand. Why had it been unsuccessful?

 

Teaching Plan

 

The eBay case is an investigation of a company that chose to pursue growth into an international environment where it had little experience. A discussion of eBay’s difficulties can provide an opportunity for comparison to the other international cases such as Heineken, Lenovo, Geely, and McDonald’s. As such, this case is best positioned mid-way through the course, after students have had an introduction to the concepts of strategy analysis and formulation.

 

Summary of Discussion Questions

 

Here is a list of the suggested discussion questions. You can decide which questions to assign, and also which additional readings or exercises to include to augment each discussion. Refer back to the Case Objectives Table to identify any additional readings and/or exercises so they can be assigned in advance.

 

Discussion Questions:

 

  1. How did eBay pursue international growth?

 

  1. What source of competitive advantage does eBay have, and is that position supported by its resources and assets? Does eBay deal effectively with its external environment in Asia?

 

Discussion Questions and Responses

 

1.      How did eBay pursue international growth?

 

Referencing Chapter 6: Formulating Corporate-Level Strategies

 

Corporate strategy focuses discussion on the questions of what businesses a corporation should compete in, and how the businesses should be managed so they can create “synergy” – creating value through entering new markets or developing new technologies, either through related or unrelated diversification.

 

Diversificationis the process of firms expanding their operations by entering new businesses. In related diversification, a firm enters a different business in which it can benefit from leveraging core competencies, sharing activities, or building market power. Some possibilities include:

  • Mergers and acquisitions
  • Strategic alliances
  • Joint ventures
  • Internal development

Whatever the choice, it should create value for all stakeholders – employees, suppliers, distributors, and the organization’s owners themselves. The choice of diversification strategy should create synergy so that all parties gain something they would not have had on their own.

 

When achieving synergy through diversification, a firm has two choices: related diversification through horizontal relationships with related businesses, sharing tangible and intangible resources, and leveraging core competencies; and unrelated diversification though hierarchical relationships with unrelated business. In this case, value creation derives from the corporate office by leveraging support activities.

 

Acquisitionisthe incorporation of one firm into another through purchase. It can be a means of obtaining valuable resources that can help an organization expand its product offerings and services. Acquisition can lead to consolidation within an industry and can force other players to merge. Corporations can also enter new market segments by way of acquisitions.

 

eBay had countered the intense competition in the online auction industry by engaging in aggressive acquisitions of online businesses worldwide, and by forming joint venture partnerships with providers and marketers in both related and unrelated businesses. In addition, eBay pursued strategic alliances, both with its joint venture partners like Tom Online, and competitors such as Yahoo, partly to minimize the intense competition from rivals like Google.

 

eBay also expanded into new markets by focusing on business-to-consumer in addition to consumer-to-consumer transactions, and by generating revenue through fees from PayPal and Skype in addition to fees from merchandise listings.

 

With increased competition from Google and other major online companies, eBay had to continue to diversify and provide depth in its product offerings to remain competitive. In most cases, eBay expanded into new markets through acquisitions and slowly incorporated the newly acquired site into its global platform. This approach had been ineffective in the Asia Pacific region, and therefore prevented eBay from successfully competing in key markets like China and Japan. In the case, eBay ex-CEO Meg Whitman indicated that eBay competed through its specialties in e-commerce, payment, and voice communication, and was primarily focused on these areas, not competing with the likes of Google in search, or Yahoo in content. As of 2008, eBay therefore had no plans for further big acquisitions, intending instead to grow by identifying synergies in its existing businesses.

 

Growth strategies should create value for all stakeholders: employees, strategic partners, and owners. The choice of growth strategy should create synergy so all parties gain something they would not have on their own.Corporations can achieve synergy by sharing tangible and value-creating activities across their business units; or through the use of common facilities, distribution channels, and sales forces, or through venture partnerships. However, cultural issues can doom intended benefits.

 

Referencing Chapter 7: International Strategy: Creating Value in Global Markets

 

International expansion is a viable diversification strategy, however before pursuing this, a firm needs to determine why an industry in a given country is more (or less) successful than the same industry in another country. When choosing a country to expand into, firms must assess the degree of consumer demand, the degree to which resources such as skilled labor and other supplier or supporting infrastructure are developed and available, the speed with which such resources can be deployed, the extent of political and economic risk and corruption, the access to qualified management.

 

In Asia Pacific, eBay’s management risks might have included:

  • Language & culture
  • Managing employees
  • Managing technical processes
  • Handling customer preferences

 

There are two opposing forces that firms face when entering international markets: cost reduction, and adaptation to local markets. Therefore there are four basic strategies firms can use: international, global, multidomestic, and transnational. See Chapter 7, Exhibit 7.4.

 

eBay followed a global strategy. Advantages of a global strategy included a unified approach that allowed users to conduct transactions in an online global community. Users could interact and purchase or sell items with anyone in the world over a single platform.  Having a single platform also minimized company costs, such as maintenance and development. Disadvantages were evident by eBay’s inability to truly meet specific local business needs. Having a single platform provided standardization across all markets, which may or may not have been effective in certain markets with customers that had specific needs and expectations.

 

eBay’s decision to use a single platform to provide online trading in all its markets had been successful in most of its global communities. However, this decision appeared to have hindered eBay’s ability to compete in the Asia Pacific region. eBay was perhaps uncomfortable turning control over to local partners, and fully leveraging local expertise.

 

A transnational strategy, where the company could provide a standard product and meet specific local needs, would be the optimal strategy for eBay to adopt for competing in the Asia Pacific region. The company could achieve this strategy through its local acquisitions and realize further benefits by tailoring customized local sites for each market. A transnational strategy would allow eBay to sustain costs while meeting specific market needs. The company had a global strategy that prevented it from successfully competing in certain markets. A transnational approach would instill consistency across eBay’s global platform and at the same time provide flexibility when entering new markets. A transnational approach would also allow eBay to retain central control in the U.S. and enable local management in each of its markets. It would therefore allow eBay to share knowledge among its various worldwide holdings.

 

Entry modes available for international expansion differ based on the extent of investment and risk, and the degree of ownership and control. See Chapter 7, Exhibit 7.10. In order from low to high, they include:

  • Exporting
  • Licensing
  • Franchising
  • Strategic Alliances
  • Joint Venture

Wholly Owned Subsidiary

 

eBay’s entry mode choices for international expansion included: alliances, joint ventures, and wholly owned subsidiaries. eBay’s joint venture with Tom Online had provided it local expertise, but eBay’s past experience with Eachnet demonstrated the company’s inability to understand local business needs and acquire market share from China’s online auction giant Taobao. With Tom Online’s intimate local knowledge and eBay’s financial strength and experience in the online auction industry, the joint venture should have helped eBay increase its position in China’s market. The enhanced communication channel was meant to appeal to a broader market that preferred direct communication and interaction between users. This was consistent with eBay’s other acquisition of communication giant Skype, and the company’s stated intent to improve communication to enhance the customer experience in the online marketplace.

 

With low entry barriers, many believed online companies would eventually consolidate to a few dominating firms; those containing the most traffic. eBay’s investments in communication companies, such as Skype and Tom Online, raised questions regarding the company’s strategic moves and whether or not it was deviating from its overall strategy. While it was obvious eBay was trying to acquire as much market share as possible, entering into the communication space allowed eBay to broaden its product mix and target a much larger customer base. The enhanced communication capabilities were expected to attract users who preferred more convenient and direct interaction with other buyers and sellers. This was particularly critical for competing successfully in markets like Asia, where users preferred more direct communication, enabling them to complete transactions more quickly.

 

eBay’s decision to buy a joint venture stake in South Korea’s Gmarket was part of a similar strategy to broaden eBay’s market coverage. However, Gmarket was a competitior, and had already entered into an agreement with Yahoo. Gmarket used a different model from eBay, mainly offering fixed price transactions and cheaper listings. Gmarket also frequently introduced new seller options to attract customers. At the end of the case, it was unclear how eBay would handle this relationship with Gmarket.

 

NOTE – ADDITIONAL READING, WEB LINKS:

 

In general, since 2007 eBay has been losing ground:

http://www.businessweek.com/technology/content/sep2007/tc20070917_750709.htm

 

With global expansion a concern for almost all firms, what specific issues might affect eBay’s global growth strategy?

 

EBay tried to expand in China with mixed results. Commentary about the differences between eBay EachNet and major competitor Taobao in 2005 was that Taobao understood the local needs of buyers:

See http://www.chinadaily.com.cn/english/doc/2005-05/09/content_440384.htm

 

And http://helenwang.rdvp.org/pacific/2005/11/taobao-vs-ebay-china.html

 

In 2006 the situation was as follows regarding eBay’s EachNet’s inability to accommodate the Chinese parton: – “This is a very unique market, and if eBay doesn’t learn how to properly navigate it, they could be at serious risk of losing their grip on one of the fastest growing and most lucrative markets in the world.”

http://seekingalpha.com/article/14162-online-auction-market-in-china-ebay-eachnet-vs-yahoo-taobao

eBay’s joint venture with Tom Online was seen by some as “another failed attempt by a U.S. behemoth to extend its dominance to Chinese cyberspace”:

http://www.businessweek.com/globalbiz/content/dec2006/gb20061219_738124.htm?chan=search

 

In 2007 eBay changed its relationship with Tom Online, and as of September EachNet was a joint venture between the two companies, with eBay products PayPal and Skype apparently out of the picture:

http://www.chinatechnews.com/2007/09/11/5867-eachnet-chooses-yeepay-for-online-payment-in-china/

 

Then in 2008 Tom Online CEO was unhappy with the joint venture, subsequently resigning:

http://www.chinatechnews.com/2008/06/04/6839-rumor-tom-onlines-ceo-will-resign/

 

In 2009 there were rumors that PayPal might be “contemplating a Chinese acquisition. Chinese independent third-party online payment company 99bill.com has signed an agreement with PayPal to jointly improve its international payment efficiency and promote international trade settlement.”

http://www.chinatechnews.com/2009/02/27/9012-chinas-99billcom-teams-with-paypal-to-explore-international-payments/

 

In Korea, the acquisition of Gmarket was completed in June 2009. Gmarket is said to operate “a bit differently from eBay. For one thing, Gmarket places less emphasis on an open-auction format, instead focusing on selling goods at fixed prices, with an option to negotiate with a seller on an exclusive basis. This allows buyers to conclude deals instantly instead of having to wait until an auction deadline.” See more of the story at:

http://www.businessweek.com/globalbiz/content/apr2009/gb20090416_364057.htm

 

The Asia-Pacific environment is still volatile and the differences between this region’s consumer shopping culture and the rest of eBay’s customer experience seem to have required significant retooling. Do you think eBay will eventually be able to gain any significant share of the Asian consumer-to-consumer market?

 

  1. What source of competitive advantage does eBay have, and is that position supported by its resources and assets? Does eBay deal effectively with its external environment in Asia?

 

In order to fully appreciate eBay’s difficulties with its growth strategies in Asia, it may help if students can step back and consider eBay’s need for a strategic analysis and formulation. eBay had already been a success in North America before it ventured abroad. That success was based on a specific competitive strategy.

 

Referencing Chapter 5: Formulating Business-Level Strategies

 

In order to achieve a sustainable competitive advantage, eBay had to assess its ability to contend with other online auctioneers. The question of how to compete in a given business to attain competitive advantage requires an assessment of the types of competitive strategies, including the three generic strategies that are used to overcome the five forces and achieve a competitive advantage:

  • Overall cost leadership
    • Low-cost-position relative to a firm’s peers
    • Manage relationships throughout the entire value chain
  • Differentiation
    • Create products and/or services that are unique and valued
    • Non-price attributes for which customers will pay a premium
  • Focus strategy
    • Narrow product lines, buyer segments, or targeted geographic markets
    • Attain advantages either through differentiation or cost leadership

 Ask the students which strategy they think eBay pursued, and why. Their answers may include some of the following points:

 

eBay competed by creating customer options that were uniquely different from those of its competitors. It also targeted distinct market niches. Because of its reputation and longevity in providing value to its customer segments, eBay was in a unique position to continue to capture a significant share of the growing online market. Therefore, eBay pursued a combination strategy of focused differentiation.

 

Regarding its competitive strategy in Asia, in order to maintain control over costs, eBay had kept central management control in the U.S. Although this centralized decision structure allowed eBay to keep to a consistent global platform, it made it more difficult to be responsive to local needs. Therefore, the value of eBay’s service in Asia did not yet convince users to either seek out the service or pay a premium.

 

Referencing Chapter 3: Analyzing the Internal Environment

 

To answer the question of how to support a competitive strategy, it’s important to consider the concept of the resource-based view of the firm, and the three key types of resources: tangible resources, intangible resources, and organizational capabilities. Determining whether the internal resources are valuable, rare, difficult to imitate, or difficult to substitute (VRIN) can help a firm sustain a competitive advantage. See Chapter 3, Exhibit 3.6. eBay’s profile might look like this:

 

Tangible Resources:

 

Financial – strong financial growth

Physical – unknown, but not that essential a resource in a service business

Technological – assumed very strong, given the nature of eBay’s business model, and its success

 

Intangible Resources:

 

Organizational – centralized decision-making worked well except in Asia

Human – based on the commitment and loyalty of Whitman & Donahoe, very capable and dedicated human resources

Innovation – major strength

Reputation – another major strength – essential in this service business

 

Organizational Capabilities:

 

Competencies – eBay had the critical strengths in its human, technological, innovative and reputational resources that should allow it to sustain a competitive advantage with its chosen business model

 

Referencing Chapter 4: Assessing Intellectual Capital

 

See the concepts of intellectual capital, human capital and social capital, all of which are intangible assets that a company such as eBay needs to have in order to compete successfully. Intellectual capital is a measure of the value of a firm’s intangible assets, its reputation, employee loyalty and commitment, customer relationships, company values, brand names, and the experience and skills of employees. Human capital involves the individual capabilities, knowledge, skills, and experience of the company’s employees and managers. Social capital is a function of the network of relationships that individuals have throughout the organization. If employees are working effectively in teams, across business divisions, and sharing their knowledge and learning from each other, not only will they be more likely to add value to the firm, but they also will be less likely to leave the organization. This applies to strategic alliance partners as well.

 

Both Meg Whitman and John Donahoe were examples of the dedication, experience and skills of eBay’s intellectual capital. Since eBay was in the knowledge business, the capabilities of its employees and managers were essential assets. However, especially in Asia, social capital was critical. Think of social networks like marketing by word-of-mouth. As eBay founder Omidyar said, eBay was envisioned as a community built on commerce, but sustained by trust, and inspired by opportunity. The social network of buyers, sellers, browsers, technical support gurus, managers, corporate employees, local partners, all had to see the same opportunity, and trust that commerce would happen.

 

It appeared possible that eBay had not yet understood how to leverage social capital in Asia. A telling comment was rival Alibaba.com’s CEO Jack Ma’s observation that eBay moved too quickly to replace local management with foreigners, and tried to create a market through spending rather than through a ground up process of networked local involvement.

 

Contrasting eBay with Yahoo, when Yahoo chose to partner with Taobao and Gmarket, both Taobao and GMarket had an in-depth understanding of the Asian culture and local market needs. They allowed users to conveniently interact with each other by offering alternate communication channels such as instant messaging and voice-over-IP (VOP).  This enabled sellers to respond to buyer questions more quickly, completing the transaction in a timelier manner. Both companies also offered fixed pricing at an early stage which allowed buyers to purchase items without having to spend time on negotiations. Despite Yahoo’s involvement with both companies, local management control was retained allowing Taobao and GMarket to meet local market needs.

 

Referencing Chapter 2: Analyzing the External Environment

 

Regarding the general external environment, eBay must consider the political/legal, economic and global, sociocultural and demographic, and technological forces that might affect the ability of the firm to deliver its services and sustain its business. See which factors in the general environment students might pick that have a significant impact on the online auction industry. Students might respond as follows:

 

Political-Legal – trade and tariff issues, local and national regulations

Economic – currency fluctuations

Demographic – population growth outside of North America; Asia & Africa had the most population, least Internet penetration

Sociocultural – people worldwide paying increasing attention to social issues, global poverty, the environment; on the Internet, increasing move away from auctions to quicker transactions based on fixed price arrangements

Technological – Internet users had increasingconcerns with online privacy, fraud

 

The above analysis indicates that eBay should have been well positioned with both resources and a competitive strategy to deal effectively with its external environment, including its competition. However, eBay’s insistence on a single global platform may not be appropriate for all markets. This is why eBay might want to consider developing a more adaptive transnational strategy. Giving up some corporate control in Asia to rely on more local expertise might be critical for success in this market.

 

Also see the CASE DVD, which has a clip of an interview with Meg Whitman.

 

NOTE – ADDITIONAL READING, WEB LINKS, EMBEDDED VIDEO:

 

Use the tools available at this link to examine the performance of eBay’s stock over the last five years: http://finance.yahoo.com/q?s=ebay

Jim Cramer’s The Street believes eBay is a good stock pick in July 2009 based on what new CEO John Donahoe has done over the year he’s been in charge. See the video report here:

http://www.thestreet.com/_yahoo/video/10540172/online-stock-to-love.html?cm_ven=YAHOOV&cm_cat=FREE&cm_ite=NA&s=1#29241765001

 

What do you believe explains the stock’s performance? Would you expect the current trend to continue? Why or why not?

 

Here is a video reportedly produced for eBay’s employees in 2005 on the occasion of its tenth anniversary. It interviews eBay users from different perspectives, one of whom is a Chinese seller using Eachnet.

http://www.youtube.com/watch?v=lw793h14eD0&feature=PlayList&p=879A61950594D1F2&playnext=1&playnext_from=PL&index=2

 

Watch the video interview of eBay outgoing CEO Meg Whitman and incoming CEO John Donahoe dated January 2008 on the transition in leadership and projected changes:

http://video.nytimes.com/video/2008/01/24/technology/1194817093417/ebay-after-whitman.html

 

Focus is on making eBay “easier and safer to shop”. Changes were announced regarding product and pricing. Some eBay patrons have been getting increasingly upset with eBay policies. See, for instance, the following series of blogs from Australia starting in 2008. Sellers are upset that they have to use PayPal exclusively:

http://www.bloggernews.net/115079 and sellers are upset that eBay has prevented them from leaving bad feedback about buyers. The implication is that buyers are more important than sellers, at least in eBay Australia:

http://www.bloggernews.net/121382

 

U.S. eBay patrons have been complaining also. See this article and the comments from August 2008:

http://blogs.wsj.com/independentstreet/2008/08/12/four-big-gripes-of-ebay-sellers/

and http://www.ebaystrategies.blogs.com/

 

In the attempt to make it safer for buyers to shop, has eBay alienated the sellers?

 

How successful do you expect eBay to be going forward?

Teaching Note: Case 38 eBay: Expanding into Asia

Case Objectives

1. To discuss the decisions and actions that a firm has to undertake to sustain a competitive advantage, especially when pursuing international growth.

See the table below to determine where to use this case:

Chapter Use Key Concepts Additional Readings or Exercises
2: External Environment External environmental forces NOTE – additional reading, web links, embedded video. Also see Case DVD.
3: Internal Analysis Tangible vs. intangible resources  
4: Intellectual Assets Human capital; intellectual capital  
5: Business-Level Strategy Generic strategies  
6: Corporate-Level Strategy Corporate strategy; synergy; acquisition  
7: International Strategy International expansion; transnational, global strategies NOTE – additional reading, web links

Case Synopsis

Since its inception in 1995, eBay had enjoyed strong revenue growth, and was a dominant player in the worldwide online auction industy. In 2008, new CEO John Donahoe reported an impressive 11 percent increase in revenue from the previous year, with an operating margin of 24 percent. EBay created revenue from three sources through multiple online products and services: eBay’s marketplace received merchandise fees from items sold either by auction or fixed-price transaction; the payment division received financial transaction fees from its PayPal service; and communication fees were received primarily via customer use of Skype.

Despite eBay’s outstanding growth performance, achieved mainly through both foreign and U.S. acquisitions, the company still faced a number of challenges in both domestic and international markets. As a growth strategy, eBay had created options and targeted distinct market niches to distinguish itself from competitors. This was particularly important because as e-commerce and Internet usage rates continued to grow, so would the market opportunity for eBay. Because of its market-leading brand, eBay was in a unique position to capture a significant share of the market at an early stage. eBay had grown to successfully compete in certain international markets, including Europe and Latin America, but had been unable to penetrate the Asia Pacific market.

eBay’s joint ventures in Asia, first with Tom Online in China, and then with Gmarket in South Korea, had not yet allowed it to achieve significant market share. Considering that the Asia Pacific region had more than 50 percent of the world’s population and was experiencing some of the largest online usage growth percentages in the world, tapping into this market was critical for eBay to expand. Why had it been unsuccessful?

Teaching Plan

The eBay case is an investigation of a company that chose to pursue growth into an international environment where it had little experience. A discussion of eBay’s difficulties can provide an opportunity for comparison to the other international cases such as Heineken, Lenovo, Geely, and McDonald’s. As such, this case is best positioned mid-way through the course, after students have had an introduction to the concepts of strategy analysis and formulation.

Summary of Discussion Questions

Here is a list of the suggested discussion questions. You can decide which questions to assign, and also which additional readings or exercises to include to augment each discussion. Refer back to the Case Objectives Table to identify any additional readings and/or exercises so they can be assigned in advance.

Discussion Questions:

1. How did eBay pursue international growth?

2. What source of competitive advantage does eBay have, and is that position supported by its resources and assets? Does eBay deal effectively with its external environment in Asia?

Discussion Questions and Responses

1. How did eBay pursue international growth?

Referencing Chapter 6: Formulating Corporate-Level Strategies

Corporate strategy focuses discussion on the questions of what businesses a corporation should compete in, and how the businesses should be managed so they can create “synergy” – creating value through entering new markets or developing new technologies, either through related or unrelated diversification.

Diversification is the process of firms expanding their operations by entering new businesses. In related diversification, a firm enters a different business in which it can benefit from leveraging core competencies, sharing activities, or building market power. Some possibilities include:

· Mergers and acquisitions

· Strategic alliances

· Joint ventures

· Internal development

Whatever the choice, it should create value for all stakeholders – employees, suppliers, distributors, and the organization’s owners themselves. The choice of diversification strategy should create synergy so that all parties gain something they would not have had on their own.

When achieving synergy through diversification, a firm has two choices: related diversification through horizontal relationships with related businesses, sharing tangible and intangible resources, and leveraging core competencies; and unrelated diversification though hierarchical relationships with unrelated business. In this case, value creation derives from the corporate office by leveraging support activities.

Acquisition is the incorporation of one firm into another through purchase. It can be a means of obtaining valuable resources that can help an organization expand its product offerings and services. Acquisition can lead to consolidation within an industry and can force other players to merge. Corporations can also enter new market segments by way of acquisitions.

eBay had countered the intense competition in the online auction industry by engaging in aggressive acquisitions of online businesses worldwide, and by forming joint venture partnerships with providers and marketers in both related and unrelated businesses. In addition, eBay pursued strategic alliances, both with its joint venture partners like Tom Online, and competitors such as Yahoo, partly to minimize the intense competition from rivals like Google.

eBay also expanded into new markets by focusing on business-to-consumer in addition to consumer-to-consumer transactions, and by generating revenue through fees from PayPal and Skype in addition to fees from merchandise listings.

With increased competition from Google and other major online companies, eBay had to continue to diversify and provide depth in its product offerings to remain competitive. In most cases, eBay expanded into new markets through acquisitions and slowly incorporated the newly acquired site into its global platform. This approach had been ineffective in the Asia Pacific region, and therefore prevented eBay from successfully competing in key markets like China and Japan. In the case, eBay ex-CEO Meg Whitman indicated that eBay competed through its specialties in e-commerce, payment, and voice communication, and was primarily focused on these areas, not competing with the likes of Google in search, or Yahoo in content. As of 2008, eBay therefore had no plans for further big acquisitions, intending instead to grow by identifying synergies in its existing businesses.

Growth strategies should create value for all stakeholders: employees, strategic partners, and owners. The choice of growth strategy should create synergy so all parties gain something they would not have on their own. Corporations can achieve synergy by sharing tangible and value-creating activities across their business units; or through the use of common facilities, distribution channels, and sales forces, or through venture partnerships. However, cultural issues can doom intended benefits.

Referencing Chapter 7: International Strategy: Creating Value in Global Markets

International expansion is a viable diversification strategy, however before pursuing this, a firm needs to determine why an industry in a given country is more (or less) successful than the same industry in another country. When choosing a country to expand into, firms must assess the degree of consumer demand, the degree to which resources such as skilled labor and other supplier or supporting infrastructure are developed and available, the speed with which such resources can be deployed, the extent of political and economic risk and corruption, the access to qualified management.

In Asia Pacific, eBay’s management risks might have included:

· Language & culture

· Managing employees

· Managing technical processes

· Handling customer preferences

There are two opposing forces that firms face when entering international markets: cost reduction, and adaptation to local markets. Therefore there are four basic strategies firms can use: international, global, multidomestic, and transnational. See Chapter 7, Exhibit 7.4.

eBay followed a global strategy. Advantages of a global strategy included a unified approach that allowed users to conduct transactions in an online global community. Users could interact and purchase or sell items with anyone in the world over a single platform. Having a single platform also minimized company costs, such as maintenance and development. Disadvantages were evident by eBay’s inability to truly meet specific local business needs. Having a single platform provided standardization across all markets, which may or may not have been effective in certain markets with customers that had specific needs and expectations.

eBay’s decision to use a single platform to provide online trading in all its markets had been successful in most of its global communities. However, this decision appeared to have hindered eBay’s ability to compete in the Asia Pacific region. eBay was perhaps uncomfortable turning control over to local partners, and fully leveraging local expertise.

A transnational strategy, where the company could provide a standard product and meet specific local needs, would be the optimal strategy for eBay to adopt for competing in the Asia Pacific region. The company could achieve this strategy through its local acquisitions and realize further benefits by tailoring customized local sites for each market. A transnational strategy would allow eBay to sustain costs while meeting specific market needs. The company had a global strategy that prevented it from successfully competing in certain markets. A transnational approach would instill consistency across eBay’s global platform and at the same time provide flexibility when entering new markets. A transnational approach would also allow eBay to retain central control in the U.S. and enable local management in each of its markets. It would therefore allow eBay to share knowledge among its various worldwide holdings.

Entry modes available for international expansion differ based on the extent of investment and risk, and the degree of ownership and control. See Chapter 7, Exhibit 7.10. In order from low to high, they include:

· Exporting

· Licensing

· Franchising

· Strategic Alliances

· Joint Venture

Wholly Owned Subsidiary

eBay’s entry mode choices for international expansion included: alliances, joint ventures, and wholly owned subsidiaries. eBay’s joint venture with Tom Online had provided it local expertise, but eBay’s past experience with Eachnet demonstrated the company’s inability to understand local business needs and acquire market share from China’s online auction giant Taobao. With Tom Online’s intimate local knowledge and eBay’s financial strength and experience in the online auction industry, the joint venture should have helped eBay increase its position in China’s market. The enhanced communication channel was meant to appeal to a broader market that preferred direct communication and interaction between users. This was consistent with eBay’s other acquisition of communication giant Skype, and the company’s stated intent to improve communication to enhance the customer experience in the online marketplace.

With low entry barriers, many believed online companies would eventually consolidate to a few dominating firms; those containing the most traffic. eBay’s investments in communication companies, such as Skype and Tom Online, raised questions regarding the company’s strategic moves and whether or not it was deviating from its overall strategy. While it was obvious eBay was trying to acquire as much market share as possible, entering into the communication space allowed eBay to broaden its product mix and target a much larger customer base. The enhanced communication capabilities were expected to attract users who preferred more convenient and direct interaction with other buyers and sellers. This was particularly critical for competing successfully in markets like Asia, where users preferred more direct communication, enabling them to complete transactions more quickly.

eBay’s decision to buy a joint venture stake in South Korea’s Gmarket was part of a similar strategy to broaden eBay’s market coverage. However, Gmarket was a competitior, and had already entered into an agreement with Yahoo. Gmarket used a different model from eBay, mainly offering fixed price transactions and cheaper listings. Gmarket also frequently introduced new seller options to attract customers. At the end of the case, it was unclear how eBay would handle this relationship with Gmarket.

NOTE – ADDITIONAL READING, WEB LINKS:

In general, since 2007 eBay has been losing ground:

http://www.businessweek.com/technology/content/sep2007/tc20070917_750709.htm

With global expansion a concern for almost all firms, what specific issues might affect eBay’s global growth strategy?

EBay tried to expand in China with mixed results. Commentary about the differences between eBay EachNet and major competitor Taobao in 2005 was that Taobao understood the local needs of buyers:

See http://www.chinadaily.com.cn/english/doc/2005-05/09/content_440384.htm

And http://helenwang.rdvp.org/pacific/2005/11/taobao-vs-ebay-china.html

In 2006 the situation was as follows regarding eBay’s EachNet’s inability to accommodate the Chinese parton: – “This is a very unique market, and if eBay doesn’t learn how to properly navigate it, they could be at serious risk of losing their grip on one of the fastest growing and most lucrative markets in the world.”

http://seekingalpha.com/article/14162-online-auction-market-in-china-ebay-eachnet-vs-yahoo-taobao

eBay’s joint venture with Tom Online was seen by some as “another failed attempt by a U.S. behemoth to extend its dominance to Chinese cyberspace”:

http://www.businessweek.com/globalbiz/content/dec2006/gb20061219_738124.htm?chan=search

In 2007 eBay changed its relationship with Tom Online, and as of September EachNet was a joint venture between the two companies, with eBay products PayPal and Skype apparently out of the picture:

http://www.chinatechnews.com/2007/09/11/5867-eachnet-chooses-yeepay-for-online-payment-in-china/

Then in 2008 Tom Online CEO was unhappy with the joint venture, subsequently resigning:

http://www.chinatechnews.com/2008/06/04/6839-rumor-tom-onlines-ceo-will-resign/

In 2009 there were rumors that PayPal might be “contemplating a Chinese acquisition. Chinese independent third-party online payment company 99bill.com has signed an agreement with PayPal to jointly improve its international payment efficiency and promote international trade settlement.”

http://www.chinatechnews.com/2009/02/27/9012-chinas-99billcom-teams-with-paypal-to-explore-international-payments/

In Korea, the acquisition of Gmarket was completed in June 2009. Gmarket is said to operate “a bit differently from eBay. For one thing, Gmarket places less emphasis on an open-auction format, instead focusing on selling goods at fixed prices, with an option to negotiate with a seller on an exclusive basis. This allows buyers to conclude deals instantly instead of having to wait until an auction deadline.” See more of the story at:

http://www.businessweek.com/globalbiz/content/apr2009/gb20090416_364057.htm

The Asia-Pacific environment is still volatile and the differences between this region’s consumer shopping culture and the rest of eBay’s customer experience seem to have required significant retooling. Do you think eBay will eventually be able to gain any significant share of the Asian consumer-to-consumer market?

2. What source of competitive advantage does eBay have, and is that position supported by its resources and assets? Does eBay deal effectively with its external environment in Asia?

In order to fully appreciate eBay’s difficulties with its growth strategies in Asia, it may help if students can step back and consider eBay’s need for a strategic analysis and formulation. eBay had already been a success in North America before it ventured abroad. That success was based on a specific competitive strategy.

Referencing Chapter 5: Formulating Business-Level Strategies

In order to achieve a sustainable competitive advantage, eBay had to assess its ability to contend with other online auctioneers. The question of how to compete in a given business to attain competitive advantage requires an assessment of the types of competitive strategies, including the three generic strategies that are used to overcome the five forces and achieve a competitive advantage:

· Overall cost leadership

· Low-cost-position relative to a firm’s peers

· Manage relationships throughout the entire value chain

· Differentiation

· Create products and/or services that are unique and valued

· Non-price attributes for which customers will pay a premium

· Focus strategy

· Narrow product lines, buyer segments, or targeted geographic markets

· Attain advantages either through differentiation or cost leadership

Ask the students which strategy they think eBay pursued, and why. Their answers may include some of the following points:

eBay competed by creating customer options that were uniquely different from those of its competitors. It also targeted distinct market niches. Because of its reputation and longevity in providing value to its customer segments, eBay was in a unique position to continue to capture a significant share of the growing online market. Therefore, eBay pursued a combination strategy of focused differentiation.

Regarding its competitive strategy in Asia, in order to maintain control over costs, eBay had kept central management control in the U.S. Although this centralized decision structure allowed eBay to keep to a consistent global platform, it made it more difficult to be responsive to local needs. Therefore, the value of eBay’s service in Asia did not yet convince users to either seek out the service or pay a premium.

Referencing Chapter 3: Analyzing the Internal Environment

To answer the question of how to support a competitive strategy, it’s important to consider the concept of the resource-based view of the firm, and the three key types of resources: tangible resources, intangible resources, and organizational capabilities. Determining whether the internal resources are valuable, rare, difficult to imitate, or difficult to substitute (VRIN) can help a firm sustain a competitive advantage. See Chapter 3, Exhibit 3.6. eBay’s profile might look like this:

Tangible Resources:

Financial – strong financial growth

Physical – unknown, but not that essential a resource in a service business

Technological – assumed very strong, given the nature of eBay’s business model, and its success

Intangible Resources:

Organizational – centralized decision-making worked well except in Asia

Human – based on the commitment and loyalty of Whitman & Donahoe, very capable and dedicated human resources

Innovation – major strength

Reputation – another major strength – essential in this service business

Organizational Capabilities:

Competencies – eBay had the critical strengths in its human, technological, innovative and reputational resources that should allow it to sustain a competitive advantage with its chosen business model

Referencing Chapter 4: Assessing Intellectual Capital

See the concepts of intellectual capital, human capital and social capital, all of which are intangible assets that a company such as eBay needs to have in order to compete successfully. Intellectual capital is a measure of the value of a firm’s intangible assets, its reputation, employee loyalty and commitment, customer relationships, company values, brand names, and the experience and skills of employees. Human capital involves the individual capabilities, knowledge, skills, and experience of the company’s employees and managers. Social capital is a function of the network of relationships that individuals have throughout the organization. If employees are working effectively in teams, across business divisions, and sharing their knowledge and learning from each other, not only will they be more likely to add value to the firm, but they also will be less likely to leave the organization. This applies to strategic alliance partners as well.

Both Meg Whitman and John Donahoe were examples of the dedication, experience and skills of eBay’s intellectual capital. Since eBay was in the knowledge business, the capabilities of its employees and managers were essential assets. However, especially in Asia, social capital was critical. Think of social networks like marketing by word-of-mouth. As eBay founder Omidyar said, eBay was envisioned as a community built on commerce, but sustained by trust, and inspired by opportunity. The social network of buyers, sellers, browsers, technical support gurus, managers, corporate employees, local partners, all had to see the same opportunity, and trust that commerce would happen.

It appeared possible that eBay had not yet understood how to leverage social capital in Asia. A telling comment was rival Alibaba.com’s CEO Jack Ma’s observation that eBay moved too quickly to replace local management with foreigners, and tried to create a market through spending rather than through a ground up process of networked local involvement.

Contrasting eBay with Yahoo, when Yahoo chose to partner with Taobao and Gmarket, both Taobao and GMarket had an in-depth understanding of the Asian culture and local market needs. They allowed users to conveniently interact with each other by offering alternate communication channels such as instant messaging and voice-over-IP (VOP). This enabled sellers to respond to buyer questions more quickly, completing the transaction in a timelier manner. Both companies also offered fixed pricing at an early stage which allowed buyers to purchase items without having to spend time on negotiations. Despite Yahoo’s involvement with both companies, local management control was retained allowing Taobao and GMarket to meet local market needs.

Referencing Chapter 2: Analyzing the External Environment

Regarding the general external environment, eBay must consider the political/legal, economic and global, sociocultural and demographic, and technological forces that might affect the ability of the firm to deliver its services and sustain its business. See which factors in the general environment students might pick that have a significant impact on the online auction industry. Students might respond as follows:

Political-Legal – trade and tariff issues, local and national regulations

Economic – currency fluctuations

Demographic – population growth outside of North America; Asia & Africa had the most population, least Internet penetration

Sociocultural – people worldwide paying increasing attention to social issues, global poverty, the environment; on the Internet, increasing move away from auctions to quicker transactions based on fixed price arrangements

Technological – Internet users had increasing concerns with online privacy, fraud

The above analysis indicates that eBay should have been well positioned with both resources and a competitive strategy to deal effectively with its external environment, including its competition. However, eBay’s insistence on a single global platform may not be appropriate for all markets. This is why eBay might want to consider developing a more adaptive transnational strategy. Giving up some corporate control in Asia to rely on more local expertise might be critical for success in this market.

Also see the CASE DVD, which has a clip of an interview with Meg Whitman.

NOTE – ADDITIONAL READING, WEB LINKS, EMBEDDED VIDEO:

Use the tools available at this link to examine the performance of eBay’s stock over the last five years: http://finance.yahoo.com/q?s=ebay

Jim Cramer’s The Street believes eBay is a good stock pick in July 2009 based on what new CEO John Donahoe has done over the year he’s been in charge. See the video report here:

http://www.thestreet.com/_yahoo/video/10540172/online-stock-to-love.html?cm_ven=YAHOOV&cm_cat=FREE&cm_ite=NA&s=1#29241765001

What do you believe explains the stock’s performance? Would you expect the current trend to continue? Why or why not?

Here is a video reportedly produced for eBay’s employees in 2005 on the occasion of its tenth anniversary. It interviews eBay users from different perspectives, one of whom is a Chinese seller using Eachnet.

http://www.youtube.com/watch?v=lw793h14eD0&feature=PlayList&p=879A61950594D1F2&playnext=1&playnext_from=PL&index=2

Watch the video interview of eBay outgoing CEO Meg Whitman and incoming CEO John Donahoe dated January 2008 on the transition in leadership and projected changes:

http://video.nytimes.com/video/2008/01/24/technology/1194817093417/ebay-after-whitman.html

Focus is on making eBay “easier and safer to shop”. Changes were announced regarding product and pricing. Some eBay patrons have been getting increasingly upset with eBay policies. See, for instance, the following series of blogs from Australia starting in 2008. Sellers are upset that they have to use PayPal exclusively:

http://www.bloggernews.net/115079 and sellers are upset that eBay has prevented them from leaving bad feedback about buyers. The implication is that buyers are more important than sellers, at least in eBay Australia:

http://www.bloggernews.net/121382

U.S. eBay patrons have been complaining also. See this article and the comments from August 2008:

http://blogs.wsj.com/independentstreet/2008/08/12/four-big-gripes-of-ebay-sellers/

and http://www.ebaystrategies.blogs.com/

In the attempt to make it safer for buyers to shop, has eBay alienated the sellers?

How successful do you expect eBay to be going forward?

 
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To Valerie and Lauren—TSH

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3

About the Authors

 

Barry Render is Professor Emeritus, the Charles Harwood Distinguished Professor of Operations Management, Crummer Graduate School of Business, Rollins College, Winter Park, Florida. He received his B.S. in Mathematics and Physics at Roosevelt University and his M.S. in Operations Research and his Ph.D. in Quantitative Analysis at the University of Cincinnati. He previously taught at George Washington University, the University of New Orleans, Boston University, and George Mason University, where he held the Mason Foundation Professorship in Decision Sciences and was Chair of the Decision Science Department. Dr. Render has also worked in the aerospace industry for General Electric, McDonnell Douglas, and NASA.

Dr. Render has coauthored 10 textbooks published by Pearson, including Managerial Decision Modeling with Spreadsheets, Operations Management, Principles of Operations Management, Service Management, Introduction to Management Science, and Cases and Readings in Management Science. More than 100 articles of Dr. Render on a variety of management topics have appeared in Decision Sciences, Production and Operations Management, Interfaces, Information and Management, Journal of Management Information Systems, Socio-Economic Planning Sciences, IIE Solutions, and Operations Management Review, among others.

Dr. Render has been honored as an AACSB Fellow and was named twice as a Senior Fulbright Scholar. He was Vice President of the Decision Science Institute Southeast Region and served as software review editor for Decision Line for six years and as Editor of the New York Times Operations Management special issues for five years. From 1984 to 1993, Dr. Render was President of Management Service Associates of Virginia, Inc., whose technology clients included the FBI, the U.S. Navy, Fairfax County, Virginia, and C&P Telephone. He is currently Consulting Editor to Financial Times Press.

Dr. Render has taught operations management courses at Rollins College for MBA and Executive MBA programs. He has received that school’s Welsh Award as leading professor and was selected by Roosevelt University as the 1996 recipient of the St. Claire Drake Award for Outstanding Scholarship. In 2005, Dr. Render received the Rollins College MBA Student Award for Best Overall Course, and in 2009 was named Professor of the Year by full-time MBA students.

Ralph Stair is Professor Emeritus at Florida State University. He earned a B.S. in chemical engi- neering from Purdue University and an M.B.A. from Tulane University. Under the guidance of Ken Ramsing and Alan Eliason, he received a Ph.D. in operations management from the University of Oregon. He has taught at the University of Oregon, the University of Washington, the University of New Orleans, and Florida State University.

He has taught twice in Florida State University’s Study Abroad Program in London. Over the years, his teaching has been concentrated in the areas of information systems, operations research, and operations management.

Dr. Stair is a member of several academic organizations, including the Decision Sciences Institute and INFORMS, and he regularly participates in national meetings. He has published numer- ous articles and books, including Managerial Decision Modeling with Spreadsheets, Introduction to Management Science, Cases and Readings in Management Science, Production and Operations Management: A Self-Correction Approach, Fundamentals of Information Systems, Principles of Information Systems, Introduction to Information Systems, Computers in Today’s World, Principles

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4  About the Authors

of Data Processing, Learning to Live with Computers, Programming in BASIC, Essentials of BASIC Programming, Essentials of FORTRAN Programming, and Essentials of COBOL Programming. Dr. Stair divides his time between Florida and Colorado. He enjoys skiing, biking, kayaking, and other outdoor activities.

Michael E. Hanna is Professor of Decision Sciences at the University of Houston–Clear Lake (UHCL). He holds a B.A. in Economics, an M.S. in Mathematics, and a Ph.D. in Operations Research from Texas Tech University. For more than 25 years, he has been teaching courses in statistics, man- agement science, forecasting, and other quantitative methods. His dedication to teaching has been recognized with the Beta Alpha Psi teaching award in 1995 and the Outstanding Educator Award in 2006 from the Southwest Decision Sciences Institute (SWDSI).

Dr. Hanna has authored textbooks in management science and quantitative methods, has pub- lished numerous articles and professional papers, and has served on the Editorial Advisory Board of Computers and Operations Research. In 1996, the UHCL Chapter of Beta Gamma Sigma presented him with the Outstanding Scholar Award.

Dr. Hanna is very active in the Decision Sciences Institute, having served on the Innovative Education Committee, the Regional Advisory Committee, and the Nominating Committee. He has served on the board of directors of the Decision Sciences Institute (DSI) for two terms and also as regionally elected vice president of DSI. For SWDSI, he has held several positions, including president, and he received the SWDSI Distinguished Service Award in 1997. For overall service to the profession and to the university, he received the UHCL President’s Distinguished Service Award in 2001.

Trevor S. Hale is Associate Professor of Management Science at the University of Houston– Downtown (UHD). He received a B.S. in Industrial Engineering from Penn State University, an M.S. in Engineering Management from Northeastern University, and a Ph.D. in Operations Research from Texas A&M University. He was previously on the faculty of both Ohio University–Athens, and Colorado State University–Pueblo.

Dr. Hale was honored three times as an Office of Naval Research Senior Faculty Fellow. He spent the summers of 2009, 2011, and 2013 performing energy security/cyber security research for the U.S. Navy at Naval Base Ventura County in Port Hueneme, California.

Dr. Hale has published dozens of articles in the areas of operations research and quantitative analysis in journals such as the International Journal of Production Research, the European Journal of Operational Research, Annals of Operations Research, the Journal of the Operational Research Society, and the International Journal of Physical Distribution and Logistics Management among several others. He teaches quantitative analysis courses in the University of Houston–Downtown MBA program and Masters of Security Management for Executives program. He is a senior mem- ber of both the Decision Sciences Institute and INFORMS.

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5

Chapter 1 Introduction to Quantitative Analysis 19

Chapter 2 Probability Concepts and Applications 41

Chapter 3 Decision Analysis 83

Chapter 4 Regression Models 131

Chapter 5 Forecasting 167

Chapter 6 Inventory Control Models 205

Chapter 7 Linear Programming Models: Graphical and Computer Methods 257

Chapter 8 Linear Programming Applications 309

Chapter 9 Transportation, Assignment, and Network Models 341

Chapter 10 Integer Programming, Goal Programming, and Nonlinear Programming 381

Chapter 11 Project Management 413

Chapter 12 Waiting Lines and Queuing Theory Models 453

Chapter 13 Simulation Modeling 487

Chapter 14 Markov Analysis 527

Chapter 15 Statistical Quality Control 555

Appendices 575

Online MOdules

1 Analytic Hierarchy Process M1-1

2 Dynamic Programming M2-1

3 Decision Theory and the Normal Distribution M3-1

4 Game Theory M4-1

5 Mathematical Tools: Determinants and Matrices M5-1

6 Calculus-Based Optimization M6-1

7 Linear Programming: The Simplex Method M7-1

8 Transportation, Assignment, and Network Algorithms M8-1

brief Contents

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6

Contents

Preface 13

chaPter 1 Introduction to Quantitative Analysis 19

1.1 Introduction 20 1.2 What Is Quantitative Analysis? 20 1.3 Business Analytics 21 1.4 The Quantitative Analysis Approach 22

Defining the Problem 22 Developing a Model 22 Acquiring Input Data 23 Developing a Solution 23 Testing the Solution 24 Analyzing the Results and Sensitivity Analysis 24 Implementing the Results 24 The Quantitative Analysis Approach

and Modeling in the Real World 26 1.5 How to Develop a Quantitative Analysis

Model 26 The Advantages of Mathematical Modeling 27 Mathematical Models Categorized by Risk 27

1.6 The Role of Computers and Spreadsheet Models in the Quantitative Analysis Approach 28

1.7 Possible Problems in the Quantitative Analysis Approach 31 Defining the Problem 31 Developing a Model 32 Acquiring Input Data 33 Developing a Solution 33 Testing the Solution 34 Analyzing the Results 34

1.8 Implementation—Not Just the Final Step 35 Lack of Commitment and Resistance

to Change 35 Lack of Commitment by Quantitative Analysts 35 Summary 35 Glossary 36 Key Equations 36 Self-Test 36 Discussion Questions and Problems 37 Case Study: Food and Beverages at Southwestern University Football Games 39 Bibliography 39

chaPter 2 Probability Concepts and Applications 41 2.1 Introduction 42 2.2 Fundamental Concepts 42

Two Basic Rules of Probability 42 Types of Probability 43 Mutually Exclusive and Collectively

Exhaustive Events 44 Unions and Intersections of Events 45 Probability Rules for Unions, Intersections,

and Conditional Probabilities 46 2.3 Revising Probabilities with Bayes’ Theorem 47

General Form of Bayes’ Theorem 49 2.4 Further Probability Revisions 49 2.5 Random Variables 50 2.6 Probability Distributions 52

Probability Distribution of a Discrete Random Variable 52

Expected Value of a Discrete Probability Distribution 52

Variance of a Discrete Probability Distribution 53 Probability Distribution of a Continuous

Random Variable 54 2.7 The Binomial Distribution 55

Solving Problems with the Binomial Formula 56 Solving Problems with Binomial Tables 57

2.8 The Normal Distribution 58 Area Under the Normal Curve 60 Using the Standard Normal Table 60 Haynes Construction Company Example 61 The Empirical Rule 64

2.9 The F Distribution 64 2.10 The Exponential Distribution 66

Arnold’s Muffler Example 67 2.11 The Poisson Distribution 68

Summary 70 Glossary 70 Key Equations 71 Solved Problems 72 Self-Test 74 Discussion Questions and Problems 75 Case Study: WTVX 81 Bibliography 81

Appendix 2.1: Derivation of Bayes’ Theorem 81

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Contents  7

chaPter 3 Decision Analysis 83 3.1 Introduction 84 3.2 The Six Steps in Decision Making 84 3.3 Types of Decision-Making Environments 85 3.4 Decision Making Under Uncertainty 86

Optimistic 86 Pessimistic 87 Criterion of Realism (Hurwicz Criterion) 87 Equally Likely (Laplace) 88 Minimax Regret 88

3.5 Decision Making Under Risk 89 Expected Monetary Value 89 Expected Value of Perfect Information 90 Expected Opportunity Loss 92 Sensitivity Analysis 92

3.6 A Minimization Example 93 3.7 Using Software for Payoff Table Problems 95

QM for Windows 95 Excel QM 96

3.8 Decision Trees 97 Efficiency of Sample Information 102 Sensitivity Analysis 102

3.9 How Probability Values Are Estimated by Bayesian Analysis 103 Calculating Revised Probabilities 103 Potential Problem in Using Survey Results 105

3.10 Utility Theory 106 Measuring Utility and Constructing

a Utility Curve 107 Utility as a Decision-Making Criterion 110 Summary 112 Glossary 112 Key Equations 113 Solved Problems 113 Self-Test 118 Discussion Questions and Problems 119 Case Study: Starting Right Corporation 127 Case Study: Blake Electronics 128 Bibliography 130

chaPter 4 Regression Models 131 4.1 Introduction 132 4.2 Scatter Diagrams 132 4.3 Simple Linear Regression 133 4.4 Measuring the Fit of the Regression Model 135

Coefficient of Determination 136 Correlation Coefficient 136

4.5 Assumptions of the Regression Model 138 Estimating the Variance 139

4.6 Testing the Model for Significance 139 Triple A Construction Example 141 The Analysis of Variance (ANOVA) Table 141 Triple A Construction ANOVA Example 142

4.7 Using Computer Software for Regression 142 Excel 2013 142 Excel QM 143 QM for Windows 145

4.8 Multiple Regression Analysis 146 Evaluating the Multiple Regression Model 147 Jenny Wilson Realty Example 148

4.9 Binary or Dummy Variables 149 4.10 Model Building 150

Stepwise Regression 151 Multicollinearity 151

4.11 Nonlinear Regression 151 4.12 Cautions and Pitfalls in Regression

Analysis 154 Summary 155 Glossary 155 Key Equations 156 Solved Problems 157 Self-Test 159 Discussion Questions and Problems 159 Case Study: North–South Airline 164 Bibliography 165

Appendix 4.1: Formulas for Regression Calculations 165

chaPter 5 Forecasting 167 5.1 Introduction 168 5.2 Types of Forecasting Models 168

Qualitative Models 168 Causal Models 169 Time-Series Models 169

5.3 Components of a Time-Series 169 5.4 Measures of Forecast Accuracy 171 5.5 Forecasting Models—Random Variations

Only 174 Moving Averages 174 Weighted Moving Averages 174 Exponential Smoothing 176 Using Software for Forecasting Time Series 178

5.6 Forecasting Models—Trend and Random Variations 181 Exponential Smoothing with Trend 181 Trend Projections 183

5.7 Adjusting for Seasonal Variations 185 Seasonal Indices 186 Calculating Seasonal Indices with No

Trend 186 Calculating Seasonal Indices with Trend 187

5.8 Forecasting Models—Trend, Seasonal, and Random Variations 188 The Decomposition Method 188 Software for Decomposition 191 Using Regression with Trend and Seasonal

Components 192 5.9 Monitoring and Controlling Forecasts 193

Adaptive Smoothing 195 Summary 195 Glossary 196 Key Equations 196 Solved Problems 197 Self-Test 198 Discussion Questions and Problems 199 Case Study: Forecasting Attendance at SWU Football Games 202 Case Study: Forecasting Monthly Sales 203 Bibliography 204

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8  Contents

chaPter 6 Inventory Control Models 205 6.1 Introduction 206 6.2 Importance of Inventory Control 207

Decoupling Function 207 Storing Resources 207 Irregular Supply and Demand 207 Quantity Discounts 207 Avoiding Stockouts and Shortages 207

6.3 Inventory Decisions 208 6.4 Economic Order Quantity: Determining How

Much to Order 209 Inventory Costs in the EOQ Situation 210 Finding the EOQ 212 Sumco Pump Company Example 212 Purchase Cost of Inventory Items 213 Sensitivity Analysis with the EOQ Model 214

6.5 Reorder Point: Determining When to Order 215

6.6 EOQ Without the Instantaneous Receipt Assumption 216 Annual Carrying Cost for Production Run

Model 217 Annual Setup Cost or Annual Ordering

Cost 217 Determining the Optimal Production

Quantity 218 Brown Manufacturing Example 218

6.7 Quantity Discount Models 220 Brass Department Store Example 222

6.8 Use of Safety Stock 224 6.9 Single-Period Inventory Models 229

Marginal Analysis with Discrete Distributions 230

Café du Donut Example 231 Marginal Analysis with the Normal

Distribution 232 Newspaper Example 232

6.10 ABC Analysis 234 6.11 Dependent Demand: The Case for Material

Requirements Planning 234 Material Structure Tree 235 Gross and Net Material Requirements

Plan 236 Two or More End Products 237

6.12 Just-In-Time Inventory Control 239 6.13 Enterprise Resource Planning 240

Summary 241 Glossary 241 Key Equations 242 Solved Problems 243 Self-Test 245 Discussion Questions and Problems 246 Case Study: Martin-Pullin Bicycle Corporation 253 Bibliography 254

Appendix 6.1: Inventory Control with QM for Windows 255

chaPter 7 Linear Programming Models: Graphical and Computer Methods 257

7.1 Introduction 258 7.2 Requirements of a Linear Programming

Problem 258 7.3 Formulating LP Problems 259

Flair Furniture Company 259 7.4 Graphical Solution to an LP Problem 261

Graphical Representation of Constraints 261 Isoprofit Line Solution Method 265 Corner Point Solution Method 268 Slack and Surplus 270

7.5 Solving Flair Furniture’s LP Problem Using QM for Windows, Excel 2013, and Excel QM 271 Using QM for Windows 271 Using Excel’s Solver Command to Solve

LP Problems 272 Using Excel QM 275

7.6 Solving Minimization Problems 277 Holiday Meal Turkey Ranch 277

7.7 Four Special Cases in LP 281 No Feasible Solution 281 Unboundedness 281 Redundancy 282 Alternate Optimal Solutions 283

7.8 Sensitivity Analysis 284 High Note Sound Company 285 Changes in the Objective Function

Coefficient 286 QM for Windows and Changes in Objective

Function Coefficients 286 Excel Solver and Changes in Objective Function

Coefficients 287 Changes in the Technological Coefficients 288 Changes in the Resources or Right-Hand-Side

Values 289 QM for Windows and Changes in Right-Hand-

Side Values 290 Excel Solver and Changes in Right-Hand-Side

Values 290 Summary 292 Glossary 292 Solved Problems 293 Self-Test 297 Discussion Questions and Problems 298 Case Study: Mexicana Wire Works 306 Bibliography 308

chaPter 8 Linear Programming Applications 309 8.1 Introduction 310 8.2 Marketing Applications 310

Media Selection 310 Marketing Research 311

8.3 Manufacturing Applications 314 Production Mix 314 Production Scheduling 315

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Contents  9

8.4 Employee Scheduling Applications 319 Labor Planning 319

8.5 Financial Applications 321 Portfolio Selection 321 Truck Loading Problem 324

8.6 Ingredient Blending Applications 326 Diet Problems 326 Ingredient Mix and Blending Problems 327

8.7 Other Linear Programming Applications 329 Summary 331 Self-Test 331 Problems 332 Case Study: Cable & Moore 339 Bibliography 340

chaPter 9 Transportation, Assignment, and Network Models 341

9.1 Introduction 342 9.2 The Transportation Problem 343

Linear Program for the Transportation Example 343

Solving Transportation Problems Using Computer Software 343

A General LP Model for Transportation Problems 344

Facility Location Analysis 345 9.3 The Assignment Problem 348

Linear Program for Assignment Example 348 9.4 The Transshipment Problem 350

Linear Program for Transshipment Example 350 9.5 Maximal-Flow Problem 353

Example 353 9.6 Shortest-Route Problem 355 9.7 Minimal-Spanning Tree Problem 356

Summary 360 Glossary 361 Solved Problems 361 Self-Test 363 Discussion Questions and Problems 364 Case Study: Andrew–Carter, Inc. 375 Case Study: Northeastern Airlines 376 Case Study: Southwestern University Traffic Problems 377 Bibliography 378

Appendix 9.1: Using QM for Windows 378

chaPter 10 Integer Programming, Goal Programming, and Nonlinear Programming 381

10.1 Introduction 382 10.2 Integer Programming 382

Harrison Electric Company Example of Integer Programming 382

Using Software to Solve the Harrison Integer Programming Problem 384

Mixed-Integer Programming Problem Example 386

10.3 Modeling with 0–1 (Binary) Variables 388 Capital Budgeting Example 388

Limiting the Number of Alternatives Selected 390

Dependent Selections 390 Fixed-Charge Problem Example 390 Financial Investment Example 392

10.4 Goal Programming 392 Example of Goal Programming: Harrison Electric

Company Revisited 394 Extension to Equally Important Multiple

Goals 395 Ranking Goals with Priority Levels 395 Goal Programming with Weighted Goals 396

10.5 Nonlinear Programming 397 Nonlinear Objective Function and Linear

Constraints 398 Both Nonlinear Objective Function and

Nonlinear Constraints 398 Linear Objective Function with Nonlinear

Constraints 400 Summary 400 Glossary 401 Solved Problems 401 Self-Test 404 Discussion Questions and Problems 405 Case Study: Schank Marketing Research 410 Case Study: Oakton River Bridge 411 Bibliography 412

chaPter 11 Project Management 413 11.1 Introduction 414 11.2 PERT/CPM 415

General Foundry Example of PERT/CPM 415 Drawing the PERT/CPM Network 417 Activity Times 417 How to Find the Critical Path 418 Probability of Project Completion 423 What PERT Was Able to Provide 424 Using Excel QM for the General Foundry

Example 424 Sensitivity Analysis and Project Management 425

11.3 PERT/Cost 427 Planning and Scheduling Project Costs:

Budgeting Process 427 Monitoring and Controlling Project Costs 430

11.4 Project Crashing 432 General Foundary Example 433 Project Crashing with Linear Programming 434

11.5 Other Topics in Project Management 437 Subprojects 437 Milestones 437 Resource Leveling 437 Software 437 Summary 437 Glossary 438 Key Equations 438 Solved Problems 439

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10  Contents

Self-Test 441 Discussion Questions and Problems 442 Case Study: Southwestern University Stadium Construction 447 Case Study: Family Planning Research Center of Nigeria 448 Bibliography 450

Appendix 11.1: Project Management with QM for Windows 450

chaPter 12 Waiting Lines and Queuing Theory Models 453

12.1 Introduction 454 12.2 Waiting Line Costs 454

Three Rivers Shipping Company Example 455 12.3 Characteristics of a Queuing System 456

Arrival Characteristics 456 Waiting Line Characteristics 456 Service Facility Characteristics 457 Identifying Models Using Kendall Notation 457

12.4 Single-Channel Queuing Model with Poisson Arrivals and Exponential Service Times (M/M/1) 460 Assumptions of the Model 460 Queuing Equations 460 Arnold’s Muffler Shop Case 461 Enhancing the Queuing Environment 465

12.5 Multichannel Queuing Model with Poisson Arrivals and Exponential Service Times (M/M/m) 465 Equations for the Multichannel Queuing

Model 466 Arnold’s Muffler Shop Revisited 466

12.6 Constant Service Time Model (M/D/1) 468 Equations for the Constant Service Time

Model 468 Garcia-Golding Recycling, Inc. 469

12.7 Finite Population Model (M/M/1 with Finite Source) 470 Equations for the Finite Population Model 470 Department of Commerce Example 471

12.8 Some General Operating Characteristic Relationships 472

12.9 More Complex Queuing Models and the Use of Simulation 472 Summary 473 Glossary 473 Key Equations 474 Solved Problems 475 Self-Test 478 Discussion Questions and Problems 479 Case Study: New England Foundry 483 Case Study: Winter Park Hotel 485 Bibliography 485

Appendix 12.1: Using QM for Windows 486

chaPter 13 Simulation Modeling 487 13.1 Introduction 488 13.2 Advantages and Disadvantages

of Simulation 489

13.3 Monte Carlo Simulation 490 Harry’s Auto Tire Example 490 Using QM for Windows for Simulation 495 Simulation with Excel Spreadsheets 496

13.4 Simulation and Inventory Analysis 498 Simkin’s Hardware Store 498 Analyzing Simkin’s Inventory Costs 501

13.5 Simulation of a Queuing Problem 502 Port of New Orleans 502 Using Excel to Simulate the Port of New Orleans

Queuing Problem 504 13.6 Simulation Model for a Maintenance

Policy 505 Three Hills Power Company 505 Cost Analysis of the Simulation 507

13.7 Other Simulation Issues 510 Two Other Types of Simulation Models 510 Verification and Validation 511 Role of Computers in Simulation 512 Summary 512 Glossary 512 Solved Problems 513 Self-Test 516 Discussion Questions and Problems 517 Case Study: Alabama Airlines 522 Case Study: Statewide Development Corporation 523 Case Study: FB Badpoore Aerospace 524 Bibliography 526

chaPter 14 Markov Analysis 527 14.1 Introduction 528 14.2 States and State Probabilities 528

The Vector of State Probabilities for Three Grocery Stores Example 529

14.3 Matrix of Transition Probabilities 530 Transition Probabilities for the Three Grocery

Stores 531 14.4 Predicting Future Market Shares 531 14.5 Markov Analysis of Machine Operations 532 14.6 Equilibrium Conditions 533 14.7 Absorbing States and the Fundamental

Matrix: Accounts Receivable Application 536 Summary 540 Glossary 541 Key Equations 541 Solved Problems 541 Self-Test 545 Discussion Questions and Problems 545 Case Study: Rentall Trucks 550 Bibliography 551

Appendix 14.1: Markov Analysis with QM for Windows 551 Appendix 14.2: Markov Analysis With Excel 553

chaPter 15 Statistical Quality Control 555 15.1 Introduction 556 15.2 Defining Quality and TQM 556 15.3 Statiscal Process Control 557

Variability in the Process 557

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Contents  11

15.4 Control Charts for Variables 559 The Central Limit Theorem 559 Setting x-Chart Limits 560 Setting Range Chart Limits 563

15.5 Control Charts for Attributes 564 p-Charts 564 c-Charts 566 Summary 568 Glossary 568 Key Equations 568 Solved Problems 569 Self-Test 570 Discussion Questions and Problems 570 Bibliography 573

Appendix 15.1: Using QM for Windows for SPC 573

appendices 575 appendix a Areas Under the Standard

Normal Curve 576 appendix B Binomial Probabilities 578 appendix c Values of e-l for Use in the Poisson

Distribution 583 appendix d F Distribution Values 584 appendix e Using POM-QM for Windows 586 appendix F Using Excel QM and Excel Add-Ins 589 appendix G Solutions to Selected Problems 590 appendix H Solutions to Self-Tests 594

index 597

OnLine MOduLes

MOduLe 1 Analytic Hierarchy Process M1-1 M1.1 Introduction M1-2 M1.2 Multifactor Evaluation Process M1-2 M1.3 Analytic Hierarchy Process M1-4

Judy Grim’s Computer Decision M1-4 Using Pairwise Comparisons M1-5 Evaluations for Hardware M1-7 Determining the Consistency Ratio M1-7 Evaluations for the Other Factors M1-9 Determining Factor Weights M1-10 Overall Ranking M1-10 Using the Computer to Solve Analytic Hierarchy

Process Problems M1-10 M1.4 Comparison of Multifactor Evaluation and

Analytic Hierarchy Processes M1-11 Summary M1-12 Glossary M1-12 Key Equations M1-12 Solved Problems M1-12 Self-Test M1-14 Discussion Questions and Problems M1-14 Bibliography M1-16

Appendix M1.1: Using Excel for the Analytic Hierarchy Process M1-16

MOduLe 2 Dynamic Programming M2-1 M2.1 Introduction M2-2 M2.2 Shortest-Route Problem Solved Using

Dynamic Programming M2-2

M2.3 Dynamic Programming Terminology M2-6 M2.4 Dynamic Programming Notation M2-8 M2.5 Knapsack Problem M2-9

Types of Knapsack Problems M2-9 Roller’s Air Transport Service Problem M2-9 Summary M2-16 Glossary M2-16 Key Equations M2-16 Solved Problem M2-16 Self-Test M2-18 Discussion Questions and Problems M2-19 Case Study: United Trucking M2-22 Internet Case Study M2-22 Bibliography M2-22

MOduLe 3 Decision Theory and the Normal Distribution M3-1

M3.1 Introduction M3-2 M3.2 Break-Even Analysis and the Normal

Distribution M3-2 Barclay Brothers Company’s New Product

Decision M3-2 Probability Distribution of Demand M3-3 Using Expected Monetary Value to Make a

Decision M3-5 M3.3 Expected Value of Perfect Information and the

Normal Distribution M3-6 Opportunity Loss Function M3-6 Expected Opportunity Loss M3-6 Summary M3-8 Glossary M3-8 Key Equations M3-8 Solved Problems M3-9 Self-Test M3-9 Discussion Questions and Problems M3-10 Bibliography M3-11

Appendix M3.1: Derivation of the Break-Even Point M3-11 Appendix M3.2: Unit Normal Loss Integral M3-12

MOduLe 4 Game Theory M4-1 M4.1 Introduction M4-2 M4.2 Language of Games M4-2 M4.3 The Minimax Criterion M4-3 M4.4 Pure Strategy Games M4-4 M4.5 Mixed Strategy Games M4-5 M4.6 Dominance M4-6

Summary M4-7 Glossary M4-7 Solved Problems M4-7 Self-Test M4-8 Discussion Questions and Problems M4-9 Bibliography M4-10

MOduLe 5 Mathematical Tools: Determinants and Matrices M5-1

M5.1 Introduction M5-2 M5.2 Matrices and Matrix

Operations M5-2 Matrix Addition and Subtraction M5-2 Matrix Multiplication M5-3 Matrix Notation for Systems

of Equations M5-6 Matrix Transpose M5-6

M5.3 Determinants, Cofactors, and Adjoints M5-6 Determinants M5-6 Matrix of Cofactors and Adjoint M5-8

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12  Contents

M5.4 Finding the Inverse of a Matrix M5-10 Summary M5-11 Glossary M5-11 Key Equations M5-11 Self-Test M5-12 Discussion Questions and Problems M5-12 Bibliography M5-13

Appendix M5.1: Using Excel for Matrix Calculations M5-13

MOduLe 6 Calculus-Based Optimization M6-1 M6.1 Introduction M6-2 M6.2 Slope of a Straight Line M6-2 M6.3 Slope of a Nonlinear Function M6-3 M6.4 Some Common Derivatives M6-5

Second Derivatives M6-6 M6.5 Maximum and Minimum M6-6 M6.6 Applications M6-8

Economic Order Quantity M6-8 Total Revenue M6-9 Summary M6-10 Glossary M6-10 Key Equations M6-10 Solved Problem M6-11 Self-Test M6-11 Discussion Questions and Problems M6-12 Bibliography M6-12

MOduLe 7 Linear Programming: The Simplex Method M7-1

M7.1 Introduction M7-2 M7.2 How to Set Up the Initial Simplex

Solution M7-2 Converting the Constraints to Equations M7-3 Finding an Initial Solution Algebraically M7-3 The First Simplex Tableau M7-4

M7.3 Simplex Solution Procedures M7-8 M7.4 The Second Simplex Tableau M7-9

Interpreting the Second Tableau M7-12 M7.5 Developing the Third Tableau M7-13 M7.6 Review of Procedures for Solving LP

Maximization Problems M7-16 M7.7 Surplus and Artificial Variables M7-16

Surplus Variables M7-17 Artificial Variables M7-17 Surplus and Artificial Variables in the Objective

Function M7-18 M7.8 Solving Minimization Problems M7-18

The Muddy River Chemical Company Example M7-18

Graphical Analysis M7-19 Converting the Constraints and Objective

Function M7-20 Rules of the Simplex Method for Minimization

Problems M7-21 First Simplex Tableau for the Muddy River

Chemical Corporation Problem M7-21 Developing a Second Tableau M7-23 Developing a Third Tableau M7-24 Fourth Tableau for the Muddy River Chemical

Corporation Problem M7-26

M7.9 Review of Procedures for Solving LP Minimization Problems M7-27

M7.10 Special Cases M7-28 Infeasibility M7-28 Unbounded Solutions M7-28 Degeneracy M7-29 More Than One Optimal Solution M7-30

M7.11 Sensitivity Analysis with the Simplex Tableau M7-30 High Note Sound Company Revisited M7-30 Changes in the Objective Function

Coefficients M7-31 Changes in Resources or RHS Values M7-33

M7.12 The Dual M7-35 Dual Formulation Procedures M7-37 Solving the Dual of the High Note Sound

Company Problem M7-37 M7.13 Karmarkar’s Algorithm M7-39

Summary M7-39 Glossary M7-39 Key Equation M7-40 Solved Problems M7-41 Self-Test M7-44 Discussion Questions and Problems M7-45 Bibliography M7-54

MOduLe 8 Transportation, Assignment, and Network Algorithms M8-1

M8.1 Introduction M8-2 M8.2 The Transportation Algorithm M8-2

Developing an Initial Solution: Northwest Corner Rule M8-2

Stepping-Stone Method: Finding a Least-Cost Solution M8-4

M8.3 Special Situations with the Transportation Algorithm M8-9 Unbalanced Transportation Problems M8-9 Degeneracy in Transportation Problems M8-10 More Than One Optimal Solution M8-13 Maximization Transportation Problems M8-13 Unacceptable or Prohibited Routes M8-13 Other Transportation Methods M8-13

M8.4 The Assignment Algorithm M8-13 The Hungarian Method (Flood’s

Technique) M8-14 Making the Final Assignment M8-18

M8.5 Special Situations with the Assignment Algorithm M8-18 Unbalanced Assignment Problems M8-18 Maximization Assignment Problems M8-19

M8.6 Maximal-Flow Problem M8-20 Maximal-Flow Technique M8-20

M8.7 Shortest-Route Problem M8-23 Shortest-Route Technique M8-23 Summary M8-25 Glossary M8-25 Solved Problems M8-26 Self-Test M8-32 Discussion Questions and Problems M8-33 Cases M8-42 Bibliography M8-42

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13

Overview

Welcome to the twelfth edition of Quantitative Analysis for Management. Our goal is to provide undergraduate and graduate students with a genuine foundation in business analytics, quantitative methods, and management science. In doing so, we owe thanks to the hundreds of users and scores of reviewers who have provided invaluable counsel and pedagogical insight for more than 30 years.

To help students connect how the techniques presented in this book apply in the real world, computer-based applications and examples are a major focus of this edition. Mathematical models, with all the necessary assumptions, are presented in a clear and “plain-English” manner. The ensuing solution procedures are then applied to example problems alongside step-by-step “how-to” instruc- tions. We have found this method of presentation to be very effective and students are very apprecia- tive of this approach. In places where the mathematical computations are intricate, the details are presented in such a manner that the instructor can omit these sections without interrupting the flow of material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the book.

The only mathematical prerequisite for this textbook is algebra. One chapter on probability and another on regression analysis provide introductory coverage on these topics. We employ standard notation, terminology, and equations throughout the book. Careful explanation is provided for the mathematical notation and equations that are used.

new tO this editiOn

â—Ź An introduction to business analytics is provided.

â—Ź Excel 2013 is incorporated throughout the chapters.

â—Ź The transportation, assignment, and network models have been combined into one chapter focused on modeling with linear programming.

â—Ź Specialized algorithms for the transportation, assignment, and network methods have been combined into Online Module 8.

â—Ź New examples, over 25 problems, 8 QA in Action applications, 4 Modeling in the Real World features, and 3 new Case Studies have been added throughout the textbook. Other problems and Case Studies have been updated.

PrefACe

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14  PrefACe

speCial Features

Many features have been popular in previous editions of this textbook, and they have been updated and expanded in this edition. They include the following:

â—Ź Modeling in the Real World boxes demonstrate the application of the quantitative analysis approach to every technique discussed in the book. Four new ones have been added.

â—Ź Procedure boxes summarize the more complex quantitative techniques, presenting them as a series of easily understandable steps.

â—Ź Margin notes highlight the important topics in the text.

â—Ź History boxes provide interesting asides related to the development of techniques and the people who originated them.

â—Ź QA in Action boxes illustrate how real organizations have used quantitative analysis to solve problems. Several new QA in Action boxes have been added.

â—Ź Solved Problems, included at the end of each chapter, serve as models for students in solving their own homework problems.

● Discussion Questions are presented at the end of each chapter to test the student’s understand- ing of the concepts covered and definitions provided in the chapter.

● Problems included in every chapter are applications oriented and test the student’s ability to solve exam-type problems. They are graded by level of difficulty: introductory (one bullet), moderate (two bullets), and challenging (three bullets). More than 40 new problems have been added.

â—Ź Internet Homework Problems provide additional problems for students to work. They are available on the Companion Website.

â—Ź Self-Tests allow students to test their knowledge of important terms and concepts in prepara- tion for quizzes and examinations.

â—Ź Case Studies, at the end of each chapter, provide additional challenging managerial applications.

â—Ź Glossaries, at the end of each chapter, define important terms.

â—Ź Key Equations, provided at the end of each chapter, list the equations presented in that chapter.

â—Ź End-of-chapter bibliographies provide a current selection of more advanced books and articles.

â—Ź The software POM-QM for Windows uses the full capabilities of Windows to solve quantita- tive analysis problems.

â—Ź Excel QM and Excel 2013 are used to solve problems throughout the book.

â—Ź Data files with Excel spreadsheets and POM-QM for Windows files containing all the examples in the textbook are available for students to download from the Companion Website. Instructors can download these plus additional files containing computer solutions to the rel- evant end-of-chapter problems from the Instructor Resource Center Web site.

â—Ź Online modules provide additional coverage of topics in quantitative analysis.

â—Ź The Companion Website, at www.pearsonglobaleditions.com/render, provides the online modules, additional problems, cases, and other material for almost every chapter.

signiFiCant Changes tO the twelFth editiOn

In the twelfth edition, we have introduced Excel 2013 in all of the chapters. Screenshots are integrated in the appropriate sections so that students can easily learn how to use Excel for the calculations. The Excel QM add-in is used with Excel 2013 allowing students with limited Excel experience to easily perform the necessary calculations. This also allows students to improve their Excel skills as they see the formulas automatically written in Excel QM.

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PrefACe  15

From the Companion Website, students can access files for all of the examples used in the textbook in Excel 2013, QM for Windows, and Excel QM. Other files with all of the end-of-chapter problems involving these software tools are available to the instructors.

Business analytics, one of the hottest topics in the business world, makes extensive use of the models in this book. A discussion of the business analytics categories is provided, and the relevant management science techniques are placed into the appropriate category.

The transportation, transshipment, assignment, and network models have been combined into one chapter focused on modeling with linear programming. The specialized algorithms for these models have been combined into a new online module.

Examples and problems have been updated, and many new ones have been added. New screen- shots are provided for almost all of the examples in the book. A brief summary of the other changes in each chapter are presented here.

Chapter 1 Introduction to Quantitative Analysis. A section on business analytics has been added, the self-test has been modified, and two new problems were added.

Chapter 2 Probability Concepts and Applications. The presentation of the fundamental concepts of probability has been significantly modified and reorganized. Two new problems have been added.

Chapter 3 Decision Analysis. A more thorough discussion of minimization problems with payoff tables has been provided in a new section. The presentation of software usage with payoff tables was expanded. Two new problems were added.

Chapter 4 Regression Models. The use of different software packages for regression analysis has been moved to the body of the textbook instead of the appendix. Five new problems and one new QA in Action item have been added.

Chapter 5 Forecasting. The presentation of time-series forecasting models was significantly revised to bring the focus on identifying the appropriate technique to use based on which time- series components are present in the data. Five new problems were added, and the cases have been updated.

Chapter 6 Inventory Control Models. The four steps of the Kanban production process have been updated and clarified. Two new QA in Action boxes, four new problems, and one new Modeling in the Real World have been added.

Chapter 7 Linear Programming Models: Graphical and Computer Methods. More discussion of Solver is presented. A new Modeling in the Real World item was added, and the solved problems have been revised.

Chapter 8 Linear Programming Applications. The transportation model was moved to Chapter 9, and a new section describing other models has been added. The self-test questions were modified; one new problem, one new QA in Action summary, and a new case study have been added.

Chapter 9 Transportation, Assignment, and Network Models. This new chapter presents all of the distribution, assignment, and network models that were previously in two separate chapters. The modeling approach is emphasized, while the special-purpose algorithms were moved to a new online module. A new case study, Northeastern Airlines, has also been added.

Chapter 10 Integer Programming, Goal Programming, and Nonlinear Programming. The use of Excel 2013 and the new screen shots were the only changes to this chapter.

Chapter 11 Project Management. Two new end-of-chapter problems and three new QA in Action boxes have been added.

Chapter 12 Waiting Lines and Queuing Theory Models. Two new end-of-chapter problems were added.

Chapter 13 Simulation Modeling. One new Modeling in the Real World vignette, one new QA in Action box, and a new case study have been added.

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16  PrefACe

Chapter 14 Markov Analysis. One new QA in Action box and two new end-of-chapter problems have been added.

Chapter 15 Statistical Quality Control. One new Modeling in the Real World vignette, one new QA in Action box, and two new end-of-chapter problems have been added.

Modules 1–8 The only significant change to the modules is the addition of Module 8: Transportation, Assignment, and Network Algorithms. This includes the special-purpose algorithms for the transportation, assignment, and network models.

Online MOdules

To streamline the book, eight topics are contained in modules available on the Companion Website for the book, located at www.pearsonglobaleditions.com/render.

1. Analytic Hierarchy Process

2. Dynamic Programming

3. Decision Theory and the Normal Distribution

4. Game Theory

5. Mathematical Tools: Determinants and Matrices

6. Calculus-Based Optimization

7. Linear Programming: The Simplex Method

8. Transportation, Assignment, and Network Algorithms

sOFtware

excel 2013 Instructions and screen captures are provided for, using Excel 2013, throughout the book. Instructions for activating the Solver and Analysis ToolPak add-ins in Excel 2013 are pro- vided in an appendix. The use of Excel is more prevalent in this edition of the book than in previous editions.

excel QM Using the Excel QM add-in that is available on the Companion Website makes the use of Excel even easier. Students with limited Excel experience can use this and learn from the formu- las that are automatically provided by Excel QM. This is used in many of the chapters.

pOM-QM for windows This software, developed by Professor Howard Weiss, is available to students at the Companion Website. This is very user-friendly and has proven to be a very popular software tool for users of this textbook. Modules are available for every major problem type pre- sented in the textbook.

COMpaniOn website

The Companion Website, located at www.pearsonglobaleditions.com/render, contains a variety of materials to help students master the material in this course. These include the following:

Modules There are eight modules containing additional material that the instructor may choose to include in the course. Students can download these from the Companion Website.

Files for examples in excel, excel QM, and pOM-QM for windows Students can down- load the files that were used for examples throughout the book. This helps them become familiar with the software, and it helps them understand the input and formulas necessary for working the examples.

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PrefACe  17

internet homework problems In addition to the end-of-chapter problems in the textbook, there are additional problems that instructors may assign. These are available for download at the Companion Website, located at www.pearsonglobaleditions.com/render.

internet Case studies Additional case studies are available for most chapters.

pOM-QM for windows Developed by Howard Weiss, this very user-friendly software can be used to solve most of the homework problems in the text.

excel QM This Excel add-in will automatically create worksheets for solving problems. This is very helpful for instructors who choose to use Excel in their classes but who may have students with limited Excel experience. Students can learn by examining the formulas that have been cre- ated, and by seeing the inputs that are automatically generated for using the Solver add-in for linear programming.

instruCtOr resOurCes

â—Ź Instructor Resource Center: The Instructor Resource Center contains the electronic files for the test bank, PowerPoint slides, the Solutions Manual, and data files for both Excel and POM-QM for Windows for all relevant examples and end-of-chapter problems, at www.pearsonglobaleditions.com/render.

â—Ź Register, Redeem, Login: At www.pearsonglobaleditions.com/render, instructors can access a variety of print, media, and presentation resources that are available with this text in down- loadable, digital format.

â—Ź Need help? Our dedicated technical support team is ready to assist instructors with questions about the media supplements that accompany this text. Visit http://247pearsoned.custhelp .com/ for answers to frequently asked questions and toll-free user support phone numbers. The supplements are available to adopting instructors. Detailed descriptions are provided on the Instructor Resource Center.

instructor’s solutions Manual The Instructor’s Solutions Manual, updated by the authors, is available for download from the Instructor Resource Center. Solutions to all Internet Homework Problems and Internet Case Studies are also included in the manual.

powerpoint presentation An extensive set of PowerPoint slides is available for download from the Instructor Resource Center.

test bank The updated test bank is available for download from the Instructor Resource Center.

testgen The computerized TestGen package allows instructors to customize, save, and generate classroom tests. The test program permits instructors to edit, add, or delete questions from the test bank; edit existing graphics and create new graphics; analyze test results; and organize a database of test and student results. This software allows the instructors to benefit from the extensive flexibility and ease of use. It provides many options for organizing and displaying tests, along with search and sort features. The software and the test banks can be downloaded at www.pearsonglobaleditions.com/render.

aCknOwledgMents

We gratefully thank the users of previous editions and the reviewers who provided valuable sugges- tions and ideas for this edition. Your feedback is valuable in our efforts for continuous improvement. The continued success of Quantitative Analysis for Management is a direct result of instructor and student feedback, which is truly appreciated.

The authors are indebted to many people who have made important contributions to this pro- ject. Special thanks go to Professors Faizul Huq, F. Bruce Simmons III, Khala Chand Seal, Victor E. Sower, Michael Ballot, Curtis P. McLaughlin, and Zbigniew H. Przanyski for their contributions to the excellent cases included in this edition.

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18  PrefACe

Stephen Achtenhagen, San Jose University M. Jill Austin, Middle Tennessee State University Raju Balakrishnan, Clemson University Hooshang Beheshti, Radford University Jason Bergner, University of Central Missouri Bruce K. Blaylock, Radford University Rodney L. Carlson, Tennessee Technological University Edward Chu, California State University, Dominguez Hills John Cozzolino, Pace University–Pleasantville Ozgun C. Demirag, Penn State–Erie Shad Dowlatshahi, University of Wisconsin, Platteville Ike Ehie, Southeast Missouri State University Richard Ehrhardt, University of North Carolina–Greensboro Sean Eom, Southeast Missouri State University Ephrem Eyob, Virginia State University Mira Ezvan, Lindenwood University Wade Ferguson, Western Kentucky University Robert Fiore, Springfield College Frank G. Forst, Loyola University of Chicago Ed Gillenwater, University of Mississippi Stephen H. Goodman, University of Central Florida Irwin Greenberg, George Mason University Nicholas G. Hall, Ohio State University Robert R. Hill, University of Houston–Clear Lake Gordon Jacox, Weber State University Bharat Jain, Towson University Vassilios Karavas, University of Massachusetts Amherst Darlene R. Lanier, Louisiana State University Kenneth D. Lawrence, New Jersey Institute of Technology Jooh Lee, Rowan College Richard D. Legault, University of Massachusetts–Dartmouth Douglas Lonnstrom, Siena College Daniel McNamara, University of St. Thomas Peter Miller, University of Windsor Ralph Miller, California State Polytechnic University

Shahriar Mostashari, Campbell University David Murphy, Boston College Robert C. Myers, University of Louisville Barin Nag, Towson State University Nizam S. Najd, Oklahoma State University Harvey Nye, Central State University Alan D. Olinsky, Bryant College Savas Ozatalay, Widener University Young Park, California University of Pennsylvania Cy Peebles, Eastern Kentucky University Yusheng Peng, Brooklyn College Dane K. Peterson, Southwest Missouri State University Sanjeev Phukan, Bemidji State University Ranga Ramasesh, Texas Christian University William Rife, West Virginia University Bonnie Robeson, Johns Hopkins University Grover Rodich, Portland State University Vijay Shah, West Virginia University–Parkersburg L. Wayne Shell, Nicholls State University Thomas Sloan, University of Massachusetts–Lowell Richard Slovacek, North Central College Alan D. Smith, Robert Morris University John Swearingen, Bryant College F. S. Tanaka, Slippery Rock State University Jack Taylor, Portland State University Madeline Thimmes, Utah State University M. Keith Thomas, Olivet College Andrew Tiger, Southeastern Oklahoma State University Chris Vertullo, Marist College James Vigen, California State University, Bakersfield William Webster, University of Texas at San Antonio Larry Weinstein, Eastern Kentucky University Fred E. Williams, University of Michigan–Flint Mela Wyeth, Charleston Southern University Oliver Yu, San Jose State University

We are very grateful to all the people at Pearson who worked so hard to make this book a suc- cess. These include Donna Battista, editor in chief; Mary Kate Murray, senior project manager; and Kathryn Dinovo, senior production project manager. We are also grateful to Tracy Duff, our project manager at PreMediaGlobal. We are extremely thankful to Annie Puciloski for her tireless work in error checking the textbook. Thank you all!

Barry Render [email protected]

Ralph Stair

Michael Hanna [email protected]

Trevor S. Hale [email protected]

Pearson wishes to thank and acknowledge the following people for their work on the Global Edition:

We thank Howard Weiss for providing Excel QM and POM-QM for Windows, two of the most outstanding packages in the field of quantitative methods. We would also like to thank the reviewers who have helped to make this textbook the most widely used one in the field of quantitative analysis:

Contributors: Krish Saha, Coventry University Stefania Paladini, Coventry University Tracey Holker, Coventry University

Reviewers: Chukri Akhras, Notre Dame University and Lebanese

International University–Lebanon Rohaizan Binti Ramlan, Universiti Tun Hussein Onn–Malaysia Yong Wooi Keong, Sunway University–Malaysia

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19

Summary  •  Glossary  •  Key Equations  •  Self-Test  •  Discussion Questions and Problems  •  Case Study: Food and

Beverages at Southwestern University Football Games  •  Bibliography

1.6 The Role of Computers and Spreadsheet Models in the Quantitative Analysis Approach

1.7 Possible Problems in the Quantitative Analysis Approach

1.8 Implementation—Not Just the Final Step

1.1 Introduction

1.2 What Is Quantitative Analysis?

1.3 Business Analytics

1.4 The Quantitative Analysis Approach

1.5 How to Develop a Quantitative Analysis Model

Chapter Outline

5. Use computers and spreadsheet models to perform quantitative analysis.

6. Discuss possible problems in using quantitative analysis.

7. Perform a break-even analysis.

1. Describe the quantitative analysis approach.

2. Understand the application of quantitative analysis in a real situation.

3. Describe the three categories of business analytics.

4. Describe the use of modeling in quantitative analysis.

After completing this chapter, students will be able to:

Introduction to Quantitative Analysis

1Chapter

learning ObjeCtives

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20  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

1.1 Introduction

People have been using mathematical tools to help solve problems for thousands of years; how- ever, the formal study and application of quantitative techniques to practical decision making  is largely a product of the twentieth century. The techniques we study in this book have been  applied successfully to an increasingly wide variety of complex problems in business, govern- ment, health care, education, and many other areas. Many such successful uses are discussed  throughout this book.

It isn’t enough, though, just to know the mathematics of how a particular quantitative tech- nique works; you must also be familiar with the limitations, assumptions, and specific applica- bility of the technique. The successful use of quantitative techniques usually results in a solution  that is timely, accurate, flexible, economical, reliable, and easy to understand and use.

In this and other chapters, there are QA (Quantitative Analysis) in Action boxes that provide  success stories on the applications of management science. They show how organizations have  used quantitative techniques to make better decisions, operate more efficiently, and generate more  profits. Taco Bell has reported saving over $150 million with better forecasting of demand and bet- ter scheduling of employees. NBC television increased advertising revenue by over $200 million  between 1996 and 2000 by using a model to help develop sales plans for advertisers. Continental  Airlines saves over $40 million per year by using mathematical models to quickly recover from  disruptions caused by weather delays and other factors. These are but a few of the many companies  discussed in QA in Action boxes throughout this book.

To see other examples of how companies use quantitative analysis or operations research  methods to operate better and more efficiently, go to the website www.scienceofbetter.org. The  success stories presented there are categorized by industry, functional area, and benefit. These  success stories illustrate how operations research is truly the “science of better.”

1.2 What Is Quantitative Analysis?

Quantitative analysis is the scientific approach to managerial decision making. This field of  study has several different names including quantitative analysis, management science, and op- erations research. These terms are used interchangeably in this book. Also, many of the quantita- tive analysis methods presented in this book are used extensively in business analytics.

Whim, emotions, and guesswork are not part of the quantitative analysis approach. The ap- proach starts with data. Like raw material for a factory, these data are manipulated or processed  into information that is valuable to people making decisions. This processing and manipulating  of raw data into meaningful information is the heart of quantitative analysis. Computers have  been instrumental in the increasing use of quantitative analysis.

In solving a problem, managers must consider both qualitative and quantitative factors. For  example, we might consider several different investment alternatives, including certificates of  deposit at a bank, investments in the stock market, and an investment in real estate. We can use  quantitative analysis to determine how much our investment will be worth in the future when de- posited at a bank at a given interest rate for a certain number of years. Quantitative analysis can  also be used in computing financial ratios from the balance sheets for several companies whose  stock we are considering. Some real estate companies have developed computer programs that  use quantitative analysis to analyze cash flows and rates of return for investment property.

In addition to quantitative analysis, qualitative factors should also be considered. The  weather, state and federal legislation, new technological breakthroughs, the outcome of an elec- tion, and so on may all be factors that are difficult to quantify.

Because of the importance of qualitative factors, the role of quantitative analysis in the  decision-making process can vary. When there  is a  lack of qualitative factors and when  the  problem, model, and input data remain the same, the results of quantitative analysis can  automate the decision-making process. For example, some companies use quantitative inventory  models to determine automatically when to order additional new materials. In most cases, how- ever, quantitative analysis will be an aid to the decision-making process. The results of quantita- tive analysis will be combined with other (qualitative) information in making decisions.

Quantitative analysis has been particularly important in many areas of management. The  field of production management, which evolved into production/operations management (POM)

Quantitative analysis uses a scientific approach to decision making.

Both qualitative and quantitative factors must be considered.

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1.3 BusIness analytICs  21

as society became more service oriented, uses quantitative analysis extensively. While POM  focuses on internal operations of a company, the field of supply chain management takes a more  complete view of the business and considers the entire process of obtaining materials from sup- pliers, using the materials to develop products, and distributing these products to the final con- sumers. Supply chain management makes extensive use of many management science models.  Another area of management that could not exist without the quantitative analysis methods pre- sented in this book, and perhaps the hottest discipline in business today, is business analytics.

1.3 Business Analytics

Business analytics is a data-driven approach to decision making that allows companies to make  better decisions. The study of business analytics involves the use of large amounts of data, which  means that information technology related to the management of the data is very important. Sta- tistical and quantitative analysis are used to analyze the data and provide useful information to  the decision maker.

Business analytics is often broken into three categories: descriptive, predictive, and pre- scriptive. Descriptive analytics involves the study and consolidation of historical data for a  business and an industry. It helps a company measure how it has performed in the past and how  it is performing now. Predictive analytics is aimed at forecasting future outcomes based on  patterns in the past data. Statistical and mathematical models are used extensively for this pur- pose. Prescriptive analytics involves the use of optimization methods to provide new and better  ways to operate based on specific business objectives. The optimization models presented in this   book are very important to prescriptive analytics. While there are only three business analytics  categories, many business decisions are made based on information obtained from two or three  of these categories.

Many of the quantitative analysis techniques presented in the chapters of this book are used  extensively in business analytics. Table 1.1 highlights the three categories of business analytics,  and it places many of the topics and chapters in this book in the most relevant category. Keep in  mind that some topics (and certainly some chapters with multiple concepts and models) could  possibly be placed in a different category. Some of the material in this book could overlap two or  even three of these categories. Nevertheless, all of these quantitative analysis techniques are very  important tools in business analytics.

Business AnAlytics cAtegory QuAntitAtive AnAlysis techniQue

(chAPter)

Descriptive analytics ● Statistical measures such as means and standard  deviations (Chapter 2)

● Statistical quality control (Chapter 15)

Predictive analytics ● Decision analysis and decision trees (Chapter 3) ● Regression models (Chapter 4) ● Forecasting (Chapter 5) ● Project scheduling (Chapter 11) ● Waiting line models (Chapter 12) ● Simulation (Chapter 13) ● Markov analysis (Chapter 14)

Prescriptive analytics ● Inventory models such as the economic order  quantity (Chapter 6)

● Linear programming (Chapters 7, 8) ● Transportation and assignment models (Chapter 9) ● Integer programming, goal programming, and

nonlinear programming (Chapter 10) ● Network models (Chapter 9)

Table 1.1 Business Analytics and Quantitative Analysis Models

The three categories of business analytics are descriptive, predictive, and prescriptive.

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22  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

1.4 The Quantitative Analysis Approach

The quantitative analysis approach consists of defining a problem, developing a model, acquir- ing input data, developing a solution, testing the solution, analyzing the results, and implement- ing the results (see Figure 1.1). One step does not have to be finished completely before the  next is started; in most cases, one or more of these steps will be modified to some extent before  the final results are implemented. This would cause all of the subsequent steps to be changed.  In some cases, testing the solution might reveal that the model or the input data are not correct.  This would mean that all steps that follow defining the problem would need to be modified.

Defining the Problem The first step in the quantitative approach is to develop a clear, concise statement of the  problem. This statement will give direction and meaning to the following steps.

In many cases, defining the problem is the most important and the most difficult step. It is  essential to go beyond the symptoms of the problem and identify the true causes. One problem  may be related to other problems; solving one problem without regard to other related problems  can make the entire situation worse. Thus, it is important to analyze how the solution to one  problem affects other problems or the situation in general.

It is likely that an organization will have several problems. However, a quantitative analysis  group usually cannot deal with all of an organization’s problems at one time. Thus, it is usually  necessary to concentrate on only a few problems. For most companies, this means selecting  those problems whose solutions will result in the greatest increase in profits or reduction in costs  to the company. The importance of selecting the right problems to solve cannot be overempha- sized. Experience has shown that bad problem definition is a major reason for failure of manage- ment science or operations research groups to serve their organizations well.

When the problem is difficult to quantify, it may be necessary to develop specific, measur- able objectives. A problem might be inadequate health care delivery in a hospital. The objectives  might be to increase the number of beds, reduce the average number of days a patient spends  in the hospital, increase the physician-to-patient ratio, and so on. When objectives are used,  however, the real problem should be kept in mind. It is important to avoid obtaining specific and  measurable objectives that may not solve the real problem.

Developing a Model Once we select the problem to be analyzed, the next step is to develop a model. Simply stated, a  model is a representation (usually mathematical) of a situation.

Even though you might not have been aware of it, you have been using models most of your  life. You may have developed models about people’s behavior. Your model might be that friend- ship is based on reciprocity, an exchange of favors. If you need a favor such as a small loan, your  model would suggest that you ask a good friend.

Of course, there are many other types of models. Architects sometimes make a physical model of a building that they will construct. Engineers develop scale models of chemical plants, called  pilot plants. A schematic model is a picture, drawing, or chart of reality. Automobiles, lawn mow- ers, gears, fans, typewriters, and numerous other devices have schematic models (drawings and

The types of models include physical, scale, schematic, and mathematical models.

Quantitative analysis has been in existence since the beginning of recorded history, but it was Frederick W. Taylor who in the early 1900s pioneered the principles of the scientific approach to man- agement. During World War II, many new scientific and quantita- tive techniques were developed to assist the military. These new developments were so successful that after World War II many companies started using similar techniques in managerial decision

making and planning. Today, many organizations employ a staff of operations research or management science personnel or con- sultants to apply the principles of scientific management to prob- lems and opportunities.

The origin of many of the techniques discussed in this book can be traced to individuals and organizations that have applied the principles of scientific management first developed by Taylor; they are discussed in History boxes scattered throughout the book.

histOry the Origin of Quantitative analysis

Defining the problem can be the most important step.

Concentrate on only a few problems.

Figure 1.1 The Quantitative Analysis Approach

Defining the Problem

Developing a Model

Acquiring Input Data

Developing a Solution

Testing the Solution

Analyzing the Results

Implementing the Results

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1.4 the QuantItatIve analysIs approaCh  23

pictures) that reveal how these devices work. What sets quantitative analysis apart from other  techniques is that the models that are used are mathematical. A mathematical model is a set of  mathematical relationships. In most cases, these relationships are expressed in equations and in- equalities, as they are in a spreadsheet model that computes sums, averages, or standard deviations.

Although there is considerable flexibility in the development of models, most of the models  presented in this book contain one or more variables and parameters. A variable, as the name  implies, is a measurable quantity that may vary or is subject to change. Variables can be control- lable or uncontrollable. A controllable variable is also called a decision variable. An example  would be how many inventory items to order. A parameter is a measurable quantity that is  inherent in the problem. The cost of placing an order for more inventory items is an example of  a parameter. In most cases, variables are unknown quantities, while parameters are known quan- tities. All models should be developed carefully. They should be solvable, realistic, and easy to  understand and modify, and the required input data should be obtainable. The model developer  has to be careful to include the appropriate amount of detail to be solvable yet realistic.

Acquiring Input Data Once we have developed a model, we must obtain the data that are used in the model (input data). Obtaining accurate data for the model is essential; even if the model is a perfect represen- tation of reality, improper data will result in misleading results. This situation is called garbage in, garbage out. For a larger problem, collecting accurate data can be one of the most difficult  steps in performing quantitative analysis.

There are a number of sources that can be used in collecting data. In some cases, company  reports and documents can be used to obtain the necessary data. Another source is interviews  with employees or other persons related to the firm. These individuals can sometimes provide  excellent information, and their experience and judgment can be invaluable. A production super- visor, for example, might be able to tell you with a great degree of accuracy the amount of time  it takes to produce a particular product. Sampling and direct measurement provide other sources  of data for the model. You may need to know how many pounds of raw material are used in  producing a new photochemical product. This information can be obtained by going to the plant  and actually measuring with scales the amount of raw material that is being used. In other cases,  statistical sampling procedures can be used to obtain data.

Developing a Solution Developing a solution involves manipulating the model to arrive at the best (optimal) solution  to the problem. In some cases, this requires that an equation be solved for the best decision. In  other cases, you can use a trial and error method, trying various approaches and picking the one  that results in the best decision. For some problems, you may wish to try all possible values for

Operations research and Oil spills

Operations researchers and decision scientists have been in- vestigating oil spill response and alleviation strategies since long before the BP oil spill disaster of 2010 in the Gulf of Mexico. A four-phase classification system has emerged for disaster re- sponse research: mitigation, preparedness, response, and recov- ery. Mitigation means reducing the probability that a disaster will occur and implementing robust, forward-thinking strategies to reduce the effects of a disaster that does occur. Preparedness is any and all organization efforts that happen a priori to a disaster. Response is the location, allocation, and overall coordination of resources and procedures during the disaster that are aimed at preserving life and property. Recovery is the set of actions taken

to minimize the long-term impacts of a particular disaster after the immediate situation has stabilized.

Many quantitative tools have helped in areas of risk analysis, insurance, logistical preparation and supply management, evacu- ation planning, and development of communication systems. Recent research has shown that while many strides and discover- ies have been made, much research is still needed. Certainly each of the four disaster response areas could benefit from additional research, but recovery seems to be of particular concern and per- haps the most promising for future research.

source: Based on N. Altay and W. Green. “OR/MS Research in Disaster   Operations Management,” European Journal of Operational Research 175, 1  (2006): 475–493.

in aCtiOn

Garbage in, garbage out means that improper data will result in misleading results.

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24  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

the variables in the model to arrive at the best decision. This is called complete enumeration.  This book also shows you how to solve very difficult and complex problems by repeating a few  simple steps until you find the best solution. A series of steps or procedures that are repeated is  called an algorithm, named after Algorismus, an Arabic mathematician of the ninth century.

The accuracy of a solution depends on the accuracy of the input data and the model. If the  input data are accurate to only two significant digits, then the results can be accurate to only two  significant digits. For example, the results of dividing 2.6 by 1.4 should be 1.9, not 1.857142857.

Testing the Solution Before a solution can be analyzed and implemented, it needs to be tested completely. Because  the solution depends on the input data and the model, both require testing.

Testing the input data and the model includes determining the accuracy and completeness of  the data used by the model. Inaccurate data will lead to an inaccurate solution. There are several  ways to test input data. One method of testing the data is to collect additional data from a differ- ent source. If the original data were collected using interviews, perhaps some additional data can  be collected by direct measurement or sampling. These additional data can then be compared  with the original data, and statistical tests can be employed to determine whether there are dif- ferences between the original data and the additional data. If there are significant differences,  more effort is required to obtain accurate input data. If the data are accurate but the results are  inconsistent with the problem, the model may not be appropriate. The model can be checked to  make sure that it is logical and represents the real situation.

Although most of the quantitative techniques discussed in this book have been computer- ized, you will probably be required to solve a number of problems by hand. To help detect both  logical and computational mistakes, you should check the results to make sure that they are con- sistent with the structure of the problem. For example, (1.96)(301.7) is close to (2)(300), which  is equal to 600. If your computations are significantly different from 600, you know you have  made a mistake.

Analyzing the Results and Sensitivity Analysis Analyzing the results starts with determining the implications of the solution. In most cases, a  solution to a problem will result in some kind of action or change in the way an organization is  operating. The implications of these actions or changes must be determined and analyzed before  the results are implemented.

Because a model is only an approximation of reality, the sensitivity of the solution to  changes in the model and input data is a very important part of analyzing the results. This type  of analysis is called sensitivity analysis or postoptimality analysis. It determines how much the  solution will change if there were changes in the model or the input data. When the solution is  sensitive to changes in the input data and the model specification, additional testing should be  performed to make sure that the model and input data are accurate and valid. If the model or data  are wrong, the solution could be wrong, resulting in financial losses or reduced profits.

The importance of sensitivity analysis cannot be overemphasized. Because input data may  not always be accurate or model assumptions may not be completely appropriate, sensitivity  analysis can become an important part of the quantitative analysis approach. Most of the chap- ters in the book cover the use of sensitivity analysis as part of the decision-making and problem- solving process.

Implementing the Results The final step is to implement the results. This is the process of incorporating the solution into  the company. This can be much more difficult than you would imagine. Even if the solution is  optimal and will result in millions of dollars in additional profits, if managers resist the new so- lution, all of the efforts of the analysis are of no value. Experience has shown that a large number  of quantitative analysis teams have failed in their efforts because they have failed to implement a  good, workable solution properly.

After the solution has been implemented, it should be closely monitored. Over time, there  may be numerous changes that call for modifications of the original solution. A changing econ- omy, fluctuating demand, and model enhancements requested by managers and decision makers  are only a few examples of changes that might require the analysis to be modified.

The input data and model determine the accuracy of the solution.

Testing the data and model is done before the results are analyzed.

Sensitivity analysis determines how the solutions will change with a different model or input data.

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1.4 the QuantItatIve analysIs approaCh  25

Defining the Problem Founded in 1969, the Finn-Power Group is Scandinavia’s largest machine tool manufacturer, exporting about 88% of its products to more than 50 countries. One of Finn-Power’s leading sectors is machinery automation, developed in the company’s northern Italian facility. While delivering very high-quality out- puts, the machines had to be configured in more than 60,000 different ways to accommodate customers’ needs, and the need for successive modifications based on after sale requests created substantial optimiza- tion problems and delays in product delivery.

Developing a Model In 1999, Finn-Power began to study the introduction of sophisticated planning bills to produce more ac- curate forecasts about its components’ needs. The purpose of the planning bills was to simplify the master production scheduling (MPS) and the requirements of input materials.

Acquiring input Data The input data required consisted of specific details about the components, such as whether they were common to a set of products (modular bills) or specific to a single one. Bills were based both on historical data from previous sales and on estimates about the probability of use for each component.

Developing a solution In the initial solution, planning bills were implemented, and the company was able to achieve a substantial reduction of the items that required individual estimates, therefore reducing overall time. A two-level pro- duction schedule to streamline the production was also introduced.

testing the solution The planning bills’ solution was tested in the Italian subsidiary operations. Salespeople collected orders from customers, and requests for modifications were passed to the designers and buyers to be implemented.

Analyzing the results The first test was not successful as the process of updating the planning bills was not carried out with the necessary clarity of objectives. Also, the reports produced were incomplete and hard to read, and they did not convey a real picture of the modifications actually required. As a result, the company failed to deliver the scheduled models in time and in some cases had to rework some of the components. A revised model was therefore proposed to address these shortcomings.

implementing the results The revised model, which enhanced product modularity, finally yielded the desired results. It dramati- cally improved the accuracy of forecasts, streamlined the production process as originally intended, and significantly augmented the number of on-time deliveries from 38% in 1999 to 80% in 2002. Also, it significantly reduced the value of the obsolete stock by 62.5%, resulting in huge savings and improved performance.

source: P. Danese and P. Romano. “Finn-Power Italia Develops and Implements a Method to Cope with High Product Variety  and Frequent Modifications,” Interfaces 35, 6 (November–December 2005): 449–459.

MOdeling in the real WOrld railroad uses Optimization Models to save Millions

Defining the Problem

Developing a Model

Acquiring Input Data

Developing a Solution

Testing the Solution

Analyzing the Results

Implementing the Results

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26  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

The Quantitative Analysis Approach and Modeling in the Real World The quantitative analysis approach is used extensively in the real world. These steps, first seen in  Figure 1.1 and described in this section, are the building blocks of any successful use of quanti- tative analysis. As seen in our first Modeling in the Real World box, the steps of the quantitative  analysis approach can be used to help a large company such as CSX plan for critical scheduling  needs now and for decades into the future. Throughout this book, you will see how the steps of  the quantitative analysis approach are used to help countries and companies of all sizes save  millions of dollars, plan for the future, increase revenues, and provide higher-quality products  and services. The Modeling in the Real World boxes in every chapter will demonstrate to you the  power and importance of quantitative analysis in solving real problems for real organizations.  Using the steps of quantitative analysis, however, does not guarantee success. These steps must  be applied carefully.

1.5 How to Develop a Quantitative Analysis Model

Developing a model is an important part of the quantitative analysis approach. Let’s see how we  can use the following mathematical model, which represents profit:

Profit = Revenue – Expenses

In many cases, we can express revenues as price per unit multiplied times the number of units  sold. Expenses can often be determined by summing fixed costs and variable cost. Variable cost  is often expressed as variable cost per unit multiplied times the number of units. Thus, we can  also express profit in the following mathematical model:

Profit = Revenue – 1Fixed cost + Variable cost2 Profit = 1Selling price per unit21Number of units sold2 – 3Fixed cost + 1Variable cost per unit21Number of units sold24 Profit = sX – 3 f + nX4 Profit = sX – f – nX (1-1)

where

s = selling price per unit f = fixed cost n = variable cost per unit X = number of units sold

The parameters in this model are f, n, and s, as these are inputs that are inherent in the model.  The number of units sold (X) is the decision variable of interest.

ExAMplE: priTchETT’s prEciOus TiME piEcEs We will use the Bill Pritchett clock repair shop  example to demonstrate the use of mathematical models. Bill’s company, Pritchett’s Precious  Time Pieces, buys, sells, and repairs old clocks and clock parts. Bill sells rebuilt springs for a  price per unit of $8. The fixed cost of the equipment to build the springs is $1,000. The variable  cost per unit is $3 for spring material. In this example,

s = 8 f = 1,000 n = 3

The number of springs sold is X, and our profit model becomes

Profit = +8X – +1,000 – +3X

If sales are 0, Bill will realize a $1,000 loss. If sales are 1,000 units, he will realize a profit  of +4,000 1+4,000 = 1+8211,0002 – +1,000 – 1+3211,00022. See if you can determine the  profit for other values of units sold.

Expenses include fixed and variable costs.

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1.5 how to develop a QuantItatIve analysIs Model  27

In addition to the profit models shown here, decision makers are often interested in the  break-even point (BEP). The BEP is the number of units sold that will result in $0 profits. We  set profits equal to $0 and solve for X, the number of units at the BEP:

0 = sX – f – nX

This can be written as

0 = 1s – n2X – f Solving for X, we have

f = 1s – n2X

X = f

s – n

This quantity (X) that results in a profit of zero is the BEP, and we now have this model for the BEP:

BEP = Fixed cost

1Selling price per unit2 – 1Variable cost per unit2

BEP = f

s – n (1-2)

For the Pritchett’s Precious Time Pieces example, the BEP can be computed as follows:

BEP = +1,000>1+8 – +32 = 200 units, or springs, at the BEP. The Advantages of Mathematical Modeling There are a number of advantages of using mathematical models:

1. Models can accurately represent reality. If properly formulated, a model can be extremely  accurate. A valid model is one that is accurate and correctly represents the problem or sys- tem under investigation. The profit model in the example is accurate and valid for many  business problems.

2. Models can help a decision maker formulate problems. In the profit model, for example,  a decision maker can determine the important factors or contributors to revenues and   expenses, such as sales, returns, selling expenses, production costs, and transportation costs.

3. Models can give us insight and information. For example, using the profit model from the  preceding section, we can see what impact changes in revenues and expenses will have on  profits. As discussed in the previous section, studying the impact of changes in a model,  such as a profit model, is called sensitivity analysis.

4. Models can save time and money in decision making and problem solving. It usually takes  less time, effort, and expense to analyze a model. We can use a profit model to analyze the  impact of a new marketing campaign on profits, revenues, and expenses. In most cases,   using models is faster and less expensive than actually trying a new marketing campaign in  a real business setting and observing the results.

5. A model may be the only way to solve some large or complex problems in a timely fash- ion. A large company, for example, may produce literally thousands of sizes of nuts, bolts,  and fasteners. The company may want to make the highest profits possible given its manu- facturing constraints. A mathematical model may be the only way to determine the highest  profits the company can achieve under these circumstances.

6. A model can be used to communicate problems and solutions to others. A decision analyst  can share his or her work with other decision analysts. Solutions to a mathematical model  can be given to managers and executives to help them make final decisions.

Mathematical Models Categorized by Risk Some mathematical models, like the profit and break-even models previously discussed, do not  involve risk or chance. We assume that we know all values used in the model with complete cer- tainty. These are called deterministic models. A company, for example, might want to minimize

The BEP results in $0 profits.

Deterministic means with complete certainty.

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28  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

manufacturing costs while maintaining a certain quality level. If we know all these values with  certainty, the model is deterministic.

Other models involve risk or chance. For example, the market for a new product might be  “good” with a chance of 60% (a probability of 0.6) or “not good” with a chance of 40% (a prob- ability of 0.4). Models that involve chance or risk, often measured as a probability value, are  called probabilistic models. In this book, we will investigate both deterministic and probabilis- tic models.

1.6 The Role of Computers and Spreadsheet Models in the Quantitative Analysis Approach

Developing a solution, testing the solution, and analyzing the results are important steps in the  quantitative analysis approach. Because we will be using mathematical models, these steps   require mathematical calculations. Excel 2013 can be used to help with these calculations, and  some spreadsheets developed in Excel will be shown in some chapters. However, some of the  techniques presented in this book require sophisticated spreadsheets and are quite tedious to   develop. Fortunately, there are two software programs available from the Companion Website  for this book that makes this much easier. These are:

1. POM-QM for Windows is an easy-to-use decision support program that was developed  POM and quantitative methods (QM) courses. POM for Windows and QM for Windows  were originally separate software packages for each type of course. These are now com- bined into one program called POM-QM for Windows. As seen in Program 1.1, it is   possible to display all the modules, only the POM modules, or only the QM modules. The  images shown in this textbook will typically display only the QM modules. Hence, in this  book, reference will usually be made to QM for Windows.  Appendix E at the end of the  book provides more information about QM for Windows.

To use QM for Windows to solve the break-even problem presented earlier, from  the Module drop-down menu select Breakeven/Cost-Volume Analysis. Then select New- Breakeven Analysis to enter the problem. When the window opens, enter a name for the  problem and select OK. Upon doing this, you will see the screen shown in Program 1.2A.  The solution is shown in Program 1.2B. Notice the additional output available from the  Window drop-down menu.

Program 1.1 The QM for Windows Main Menu

Select a module from the drop-down menu

To see the modules relevant for this book, select Display QM Modules

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1.6 the role of CoMputers and spreadsheet Models In the QuantItatIve analysIs approaCh  29

Program 1.2a Entering the Data for pritchett’s precious Time pieces Example into QM for Windows Click Solve to runthe program.

Enter the data.

Program 1.2b QM for Windows solution screen for pritchett’s precious Time pieces Example

Additional output is available from the Window menu.

Files for the QM for Windows examples throughout the book can be downloaded from  the Companion Website. Opening these files will demonstrate how data are input for the  various modules of QM for Windows.

2. Excel QM, an add-in for Excel, can also be used to perform the mathematical calculations for the techniques discussed in each chapter. When installed, in Excel 2013, Excel QM  will appear as a tab on the ribbon. From this tab, the appropriate model can be selected  from a menu as shown in Program 1.3. Appendix F has more information about this.  Excel files with the example problems shown can be downloaded from the Companion  Website.

To use Excel QM in Excel 2013 to solve the break-even problem presented earlier,  from the Alphabetical Menu (see Program 1.3) select Breakeven Analysis. When this is  done, a worksheet is prepared automatically and the user simply inputs the fixed cost,   variable cost, and revenue (selling price per unit) as shown in Program 1.4. The solution  is calculated when all the inputs have been entered.

Excel 2013 contains some functions, special features, formulas, and tools that help  with some of the questions that might be posed in analyzing a business problem. Once such  feature, Goal Seek, is shown in Program 1.5 as it is applied to the break-even example.  Excel 2013 also has some add-ins that must be activated before using them the first time.  These include the Data Analysis add-in and the Solver add-in, which will be discussed in  later chapters.

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30  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

Program 1.4 Entering the Data for pritchett’s precious Time pieces Example into Excel QM in Excel 2013

The problem data is entered here.

The results are shown here.

Program 1.3 Excel QM in Excel 2013 ribbon and Menu of Techniques

Select the Excel QM tab.

Select the Alphabetical menu to see the techniques.

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1.7 possIBle proBleMs In the QuantItatIve analysIs approaCh  31

Program 1.5 using Goal seek in the Break-Even problem to Achieve a specified profit

From the Data tab, select What-if Analysis. From the menu that drops down, select Goal Seek.

If the goal is $175 pro�t (B23), and this is obtained by changing the volume (B13), the Goal Seek window inputs are these.

1.7 Possible Problems in the Quantitative Analysis Approach

We have presented the quantitative analysis approach as a logical, systematic means of tackling  decision-making problems. Even when these steps are followed carefully, there are many diffi- culties that can hurt the chances of implementing solutions to real-world problems. We now take  a look at what can happen during each of the steps.

Defining the Problem One view of decision makers is that they sit at a desk all day long, waiting until a problem  arises, and then stand up and attack the problem until it is solved. Once it is solved, they sit  down,  relax, and wait for the next big problem. In the worlds of business, government, and

Major league Operations research at the department of agriculture

in 1997, the Pittsburgh Pirates signed Ross Ohlendorf because of his 95-mph sinking fastball. Little did they know that Ross pos- sessed operations research skills also worthy of national merit. Ross Ohlendorf had graduated from Princeton University with a 3.8 GPA in operations research and financial engineering.

Indeed, after the 2009 baseball season, when Ross applied for an 8-week unpaid internship with the U.S. Department of Agriculture, he didn’t need to mention his full-time employer because the Secretary of the Department of Agriculture at the time, Tom Vilsack, was born and raised in Pittsburgh and was an

avid Pittsburgh Pirates fan. Ross spent 2 months of the ensuing off- season utilizing his educational background in operations research, helping the Department of Agriculture track disease migration in livestock, a subject Ross has a vested interest in as his family runs a cattle ranch in Texas. Moreover, when ABC News asked Ross about his off-season unpaid internship experience, he replied, “This one’s been, I’d say, the most exciting off-season I’ve had.”

source: Rick Klein, “Ross Ohlendorf: From Major League Pitcher to Unpaid  Intern,” ABCnews.go.com, December 15, 2009.

in aCtiOn

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32  Chapter 1 • IntroduCtIon to QuantItatIve analysIs

education, problems are, unfortunately, not easily identified. There are four potential roadblocks  that quantitative analysts face in defining a problem. We use an application, inventory analysis,  throughout this section as an example.

cOnflicTinG ViEWpOinTs The first difficulty is that quantitative analysts must often consider  conflicting viewpoints in defining the problem. For example, there are at least two views that  managers take when dealing with inventory problems. Financial managers usually feel that in- ventory is too high, as inventory represents cash not available for other investments. Sales man- agers, on the other hand, often feel that inventory is too low, as high levels of inventory may  be needed to fill an unexpected order. If analysts assume either one of these statements as the  problem definition, they have essentially accepted one manager’s perception and can expect re- sistance from the other manager when the “solution” emerges. So it’s important to consider both  points of view before stating the problem. Good mathematical models should include all perti- nent information. As we shall see in Chapter 6, both of these factors are included in inventory  models.

 
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