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Gender differences in e-commerce

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  • Bijou Yang
  • David Lester

Abstract

Predictors of shopping online were compared for men and women using a sample of 365 college students. For the men, the only predictor of purchasing products online was the number of hours they spent online. For women, the predictors of making purchases online included anxiety about using computers and attitudes toward money, in addition to the number of hours spent online. The results were examined using OLS and MLE (logit and probit) regressions techniques, and the results from each technique compared and contrasted.

Suggested Citation

  • Bijou Yang & David Lester, 2005. "Gender differences in e-commerce," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2077-2089.
    • Handle: RePEc:taf:applec:v:37:y:2005:i:18:p:2077-2089
    DOI: 10.1080/00036840500293292
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    References listed on IDEAS

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    1. Hayhoe, Celia Ray & Leach, Lauren & Turner, Pamela R., 1999. "Discriminating the number of credit cards held by college students using credit and money attitudes," Journal of Economic Psychology, Elsevier, vol. 20(6), pages 643-656, December.
    2. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-1289, November.
    3. Hendry, David F. & Richard, Jean-Francois, 1982. "On the formulation of empirical models in dynamic econometrics," Journal of Econometrics, Elsevier, vol. 20(1), pages 3-33, October.
    4. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    5. Gilbert, Christopher L, 1989. "LSE and the British Approach to Time Series Econometrics," Oxford Economic Papers, Oxford University Press, vol. 41(1), pages 108-128, January.
    6. Rosenbloom, Bert, 2002. "The ten deadly myths of e-commerce," Business Horizons, Elsevier, vol. 45(2), pages 61-66.
    7. Gilbert, Christopher L, 1986. "Professor Hendry's Econometric Methodology," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 283-307, August.
    8. Bijou Yang & Philip Lo & David Lester, 2003. "Purchasing textbooks online," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1265-1269.
    9. Colin Camerer & Teck Ho & Kuan Chong, 2003. "Models of Thinking, Learning, and Teaching in Games," American Economic Review, American Economic Association, vol. 93(2), pages 192-195, May.
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    Cited by:

    1. Goldsmith, Ronald E. & Flynn, Leisa R. & Clark, Ronald A., 2011. "Materialism and brand engagement as shopping motivations," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 278-284.
    2. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    3. Fernández-Bonilla, Fernando & Gijón, Covadonga & De la Vega, Bárbara, 2022. "E-commerce in Spain: Determining factors and the importance of the e-trust," Telecommunications Policy, Elsevier, vol. 46(1).
    4. Ladhari, Riadh & Hudon, Tristan & Massa, Elodie & Souiden, Nizar, 2022. "The determinants of Women's redemption of geo-targeted m-coupons," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Ather Akhlaq & Ejaz Ahmed, 2016. "Gender Differences Among Online Shopping Factors In Pakistan," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 7(1).

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