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Defining generational cohorts for marketing in Mexico

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  • Fernández-Durán, J.J.

Abstract

The generational cohort theory states that groups of individuals who experienced the same social, economic, political, and cultural events during early adulthood (17–23years) would share similar values throughout their lives. Moreover, they would act similarly when making decisions in different aspects of life, particularly when making decisions as consumers. Thus, these groups define market segments, which is relevant in the design of marketing strategies. In Mexico, marketing researchers commonly use U.S. generational cohorts to define market segments, despite sufficient evidence that the generational cohorts in the two countries are not identical because of differences in national historic events. This paper proposes a methodology based on change-point analysis and ordinal logistic regressions to obtain a new classification of generational cohorts for Mexican urban consumers, using data from a 2010 nationwide survey on the values of individuals across age groups.

Suggested Citation

  • Fernández-Durán, J.J., 2016. "Defining generational cohorts for marketing in Mexico," Journal of Business Research, Elsevier, vol. 69(2), pages 435-444.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:2:p:435-444
    DOI: 10.1016/j.jbusres.2015.06.049
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    References listed on IDEAS

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    1. Brosdahl, Deborah J.C. & Carpenter, Jason M., 2011. "Shopping orientations of US males: A generational cohort comparison," Journal of Retailing and Consumer Services, Elsevier, vol. 18(6), pages 548-554.
    2. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    3. Carolyn P. Egri & David A. Ralston, 2004. "Generation Cohorts and Personal Values: A Comparison of China and the United States," Organization Science, INFORMS, vol. 15(2), pages 210-220, April.
    4. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653, January.
    5. Allen, Michael W. & Ng, Sik Hung, 1999. "The direct and indirect influences of human values on product ownership," Journal of Economic Psychology, Elsevier, vol. 20(1), pages 5-39, February.
    6. Parment, Anders, 2013. "Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 189-199.
    7. Kosei Fukuda, 2010. "A cohort analysis of household vehicle expenditure in the U.S. and Japan: A possibility of generational marketing," Marketing Letters, Springer, vol. 21(1), pages 53-64, March.
    8. Noble, Stephanie M. & Schewe, Charles D., 2003. "Cohort segmentation: An exploration of its validity," Journal of Business Research, Elsevier, vol. 56(12), pages 979-987, December.
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