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Including Corporate Social Responsibility, Environmental Sustainaibility, and Ethics in Calibrating MBA Job Preferences

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Author Info
Montgomery, David B. (Stanford U and Singapore Management U)
Ramus, Catherine (U of California, Santa Barbara)
Abstract

Our research studies 759 MBA's graduating from eleven business schools to gain insight into what MBA's in the 21st Century care about during their job searches. We update the MBA job preference literature by using adaptive conjoint analysis to calibrate the relative importance of a wide variety of job factors combining factors found in previous research in disparate fields (general management, applied psychology, corporate social performance, ethics, and marketing). Our results show the relative importance of organizational reputation related to caring for employees, ethical products and practices, and social and environmental responsibility, compared to factors like financial package, job challenge, etc. to 759 MBA's graduating from eleven business schools--eight in North America and three in Europe. Study limitations and some mitigations of these are discussed.

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Paper provided by Stanford University, Graduate School of Business in its series Research Papers with number 1981.

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Date of creation: Dec 2007
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Handle: RePEc:ecl:stabus:1981

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  1. Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 5(2), pages 103-23, Se.
  2. Montgomery, David B. & Ramus, Catherine A., 2003. "Corporate Social Responsibility Reputation Effects on MBA Job Choice," Research Papers 1805, Stanford University, Graduate School of Business. [Downloadable!]
  3. Darmon, Rene Y. & Rouzies, Dominique, 1999. "Internal Validity of Conjoint Analysis Under Alternative Measurement Procedures," Journal of Business Research, Elsevier, vol. 46(1), pages 67-81, September. [Downloadable!] (restricted)
  4. V. Srinivasan & Allan Shocker, 1973. "Linear programming techniques for multidimensional analysis of preferences," Psychometrika, Springer, vol. 38(3), pages 337-369, September. [Downloadable!] (restricted)
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