Journal article
Gender differences in e-commerce
Applied economics, v 37(18), pp 2077-2089
10 Oct 2005
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.
Metrics
Details
- Title
- Gender differences in e-commerce
- Creators
- Bijou Yang - Drexel UniversityDavid Lester - Stockton University
- Publication Details
- Applied economics, v 37(18), pp 2077-2089
- Publisher
- Routledge
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics)
- Web of Science ID
- WOS:000232882300003
- Scopus ID
- 2-s2.0-27744596458
- Other Identifier
- 991019339703404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Economics