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Gender differences in e-commerce

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Author Info
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.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 37 (2005)
Issue (Month): 18 (October)
Pages: 2077-2089
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Handle: RePEc:taf:applec:v:37:y:2005:i:18:p:2077-2089

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