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Global brands, local ads

European consumers welcome brands from across the globe, but when it comes to advertising, they seem to prefer brands from their own country. A survey conducted by Yankelovich and Partners and its affiliates found that most European consumers’ favourite advertisements were for local brands, even though they were more than likely to buy brands from other countries. Participants in the UK, France and Germany named Coca-Cola as the most-often purchased soft drink. The French, however, selected the famous award-winning spot for France’s Perrier bottled water as their favourite advertisement. Similarly, in Germany, the favourite advertising was for a German brand of non-alcoholic beer, Clausthaler. In the UK, though, Coca-Cola was the favourite soft drink and also the favourite advertising. In the light of such findings, the important question was: does advertising help? Does it help increase the purchase probability of the brand or does it merely maintain a high brand recognition rate? One way of finding out was by running a regression where the dependent variable was the likelihood of brand purchase and the independent variables were brand attribute evaluations and advertising evaluations. Separate models with and without advertising could be run to assess any significant difference in the contribution. Individual t tests could also be examined to find out the significant contribution of both the brand attributes and advertising. The results could indicate the degree to which advertising plays an important part in brand purchase decisions.
In conjunction with these results, a study revealed that attempting to build brand loyalty purchases by means of a sales promotion is not a desirable way to achieve such an objective. According to the study, sales promotions only encourage momentary brand switching and merely enhance short-term performance for companies. Furthermore, over the long run a sales promotion may imply a low-quality or unstable brand image to consumers or it may confuse them, which could also lead to a decline in brand loyalty. The results of this study show that sacrificing advertising and relying on sales promotions reduces brand associations, which ultimately leads to a decrease in brand loyalty purchases.

 
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An eye for a bargain

A study of 294 consumers was undertaken to determine the correlates of ‘rebate proneness’: in other words, the characteristics of consumers who respond favourably to direct mail promotions that offer a discount on the normal purchase price. The predictor variables were four factors related to household shopping attitudes and behaviour and selected demographic characteristics (gender, age and income). The dependent variable was the extent to which participants were predisposed to take up the offer of a rebate, of which three levels were identified. Participants who reported no purchases triggered by a rebate during the past 12 months were classified as non-users, those who reported one or two such purchases were light users and those with more than two purchases were frequent users of discounts. Multiple discriminant analysis was used to analyse the data. Two primary findings emerged. First, consumers’ perception of the effort/value relationship was the most effective variable in discriminating among frequent users, light users and non-users of rebate offers. Clearly, ‘rebate-prone’ consumers associate less effort with fulfilling the requirements of the rebated purchase, and are willing to accept a relatively smaller refund than other customers. Second, consumers who were aware of the regular prices of products, so that they recognise bargains, are more likely than others to respond to rebate offers. These findings were used by Dell (www.dell.com) to offer cash rebates on its notebook computers. The company felt that this would encourage rebate sensitive customers to choose Dell notebooks.

 
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Reasons for researchers regressing to unethical behaviour31

For reasons of time, convenience and cost, online channels have become the dominant in many areas of marketing research. It has been recognised for some time that the research community needs a coherent ethical code of practice to guide research activities conducted online. Many online researchers are distressed at the manner in which some researchers abuse the internet as a means of collecting data. In particular, marketing research has been charged with engaging in deception, conflict of interest, violation of anonymity, invasion of privacy, data falsifications, dissemination of faulty research findings and the use of research as a guise to sell merchandise. It has been posited that when a researcher chooses to participate in unethical activities, that decision may be influenced by organisational factors. Therefore, a study using multiple regression analysis was designed to examine organisational factors as determinants of the incidence of unethical research practices. Six organisational variables were used as the independent variables, namely: extent of ethical problems within the organisation; top management actions on ethics; code of ethics; organisational rank; industry category; and organisational role. The participant’s evaluation of the incidence of unethical marketing research practices served as the dependent variable. Regression analysis of the data suggested that four of the six organisational variables influenced the extent of unethical research practice: extent of ethical problems within the organisation; top management actions on ethics; industry category; and organisational role. Thus, to reduce the incidence of unethical research practice, top management should take stern actions, clarify roles and responsibilities for ethical violations and address the extent of general ethical problems within the organisation.

 
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To understand the role of quality and price in influencing the patronage of shoe shops, 14 major shoe shops in a large city were rated in terms of preference to shop, quality of shoes sold and price fairness. All the ratings were obtained on an 11-point scale, with higher numbers indicating more positive ratings.

a Run a multiple regression analysis explaining shoe shop preference in terms of shoe quality and price fairness.

b Interpret the partial regression coefficients.

c Determine the significance of the overall regression.

d Determine the significance of the partial regression coefficients.

e Do you think that multicollinearity is a problem in this case?
Why or why not?

 
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