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Predicting business ethical tolerance in international markets: a concomitant clusterwise regression analysis

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  • Aurifeille, Jacques-Marie
  • Quester, Pascale G.

Abstract

The literature proposes a number of models explaining ethical behaviours but these are seldom of the kind which can be used by marketers in their day-to-day decision making. In this study based on data collected from 166 firms operating in overseas markets, a concomitant clusterwise regression approach is used to define clusters that display good homogeneity both in traits and in models of ethical tolerance, thus allowing an 'ethical diagnostic' of firms. Based on readily available and objective variables, namely size, dependence on overseas markets and overseas experience, the paper demonstrates that it is possible to cluster firms into groups of which the ethical tolerance can be predicted. The managerial implications of these findings for international marketers and directions for future research are also discussed.

Suggested Citation

  • Aurifeille, Jacques-Marie & Quester, Pascale G., 2003. "Predicting business ethical tolerance in international markets: a concomitant clusterwise regression analysis," International Business Review, Elsevier, vol. 12(2), pages 253-272, April.
    • Handle: RePEc:eee:iburev:v:12:y:2003:i:2:p:253-272
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    References listed on IDEAS

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    1. Chonko, Lawrence B. & Hunt, Shelby D., 1985. "Ethics and marketing management: An empirical examination," Journal of Business Research, Elsevier, vol. 13(4), pages 339-359, August.
    2. Bryan W Husted & Janelle Brinker Dozier & J Timothy McMahon & Michael W Kattan, 1996. "The Impact of Cross-National Carriers of Business Ethics on Attitudes about Questionable Practices and Form of Moral Reasoning," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 27(2), pages 391-411, June.
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    4. Bodo B Schlegelmilch & Diana C Robertson, 1995. "The influence of Country and Industry on Ethical Perceptions of Senior Executives in the U.S. and Europe," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 26(4), pages 859-881, December.
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    1. Réal Carbonneau & Gilles Caporossi & Pierre Hansen, 2014. "Globally Optimal Clusterwise Regression By Column Generation Enhanced with Heuristics, Sequencing and Ending Subset Optimization," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 219-241, July.
    2. Carbonneau, Réal A. & Caporossi, Gilles & Hansen, Pierre, 2011. "Globally optimal clusterwise regression by mixed logical-quadratic programming," European Journal of Operational Research, Elsevier, vol. 212(1), pages 213-222, July.
    3. D'Urso, Pierpaolo & Santoro, Adriana, 2006. "Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 287-313, November.

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