The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Gender and website design in e-business
Abstract
Abstract: Although online shopping has increased exponentially in recent years, very little is known about the difference in male and female perceptions of this experience. This investigation is focused on examining how perceptions between the genders differ concerning transaction security, website design elements, and how the experience of online shopping results in perceptions of website trust, website satisfaction, and e-loyalty. Results of the research indicate that transaction security was not as large a concern as expected, and perceptions about it did not differ between men and women. Alternately, in support of the research hypotheses, there are significant differences in perceptions of website design and website satisfaction between the genders, but not for e-loyalty.
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Citations
Cites
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An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
An Examination of the Nature of Trust in Buyer-Seller Relationships
Doney, P. M., & Cannon, J. P. (1997) · Journal of Marketing · doi:10.2307/1251829 · Cited by 6,822
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550
Lewis, J. D., & Weigert, A. (1985) · Social Forces · doi:10.2307/2578601 · Cited by 4,163
E-satisfaction and e-loyalty: A contingency framework
Anderson, R. E., & Srinivasan, S. S. (2003) · Psychology & Marketing · doi:10.1002/mar.10063 · Cited by 2,310
Consumer trust in an internet store: a cross-cultural validation
Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.1999.tb00337.x · Cited by 1,882 · cited 1×
“rely on the seller and take actions in circumstances where such action makes the consumer vulnerable to the seller” ( Jarvenpaa et al., 1999,p.4 ).”
BackgroundThe role played by perceived usability, satisfaction and consumer trust on website loyalty
Flavián, C., Guinalíu, M., & Gurrea, R. (2006) · Information & Management · doi:10.1016/j.im.2005.01.002 · Cited by 1,684
Individual Trust in Online Firms: Scale Development and Initial Test
(2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045715 · Cited by 1,347
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
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Cited by
Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty
Cyr, D. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240402 · Cited by 766
Self-citationDeterminants of customer repurchase intention in online shopping
Chiu, C., Chang, C., Cheng, H., & Fang, Y. (2009) · Online Information Review · doi:10.1108/14684520910985710 · Cited by 657
Awad, N. F., & Ragowsky, A. (2008) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240404 · Cited by 648
A meta-analysis of online trust relationships in e-commerce.
Kim, Y., & Peterson, R. A. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.01.001 · Cited by 541
Perceived irritation in online shopping: the impact of website design characteristics.
Hasan, B. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.056 · Cited by 203
Metadata
- Authors
- Cyr, D., & Bonanni, C.
- Venue
- International Journal of Electronic Business
- Publisher
- Inderscience Publishers
- Published
- 2005
- Volume
- 3
- Issue
- 6
- Pages
- 565
- ISSN
- 1470-6067 (ISSN-L)
- 1741-5063
- OpenAlex
- W2138015971
- Cited by
- 254
- References
- 13
- FWCI
- 8.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.