The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Exploring the influence of gender on the web usage via partial least squares
Abstract
A growing body of research related to the role of gender in human interactions with information technology has emerged in recent years. In this paper we analyse the web acceptance and usage between males and females, incorporating intrinsic human factors. Partial least-squares (PLS), a second-generation multivariate analysis technique, was used to estimate the parameters of the proposed models. First, the scale psychometric characteristics were tested (validity and reliability). Second, the structural model was tested. The empirical results provided strong support for the hypotheses, demonstrating how males and females differ in their ‘web acceptance and usage’ processes; and highlighting the roles of flow, ease of use and usefulness in determining the actual use of the web between males and females.
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Cites
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Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
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Cited by
Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616
Use and Impact of Online Travel Reviews
Gretzel, U., & Yoo, K. H. (2008) · Information and Communication Technologies in Tourism 2008 · doi:10.1007/978-3-211-77280-5_4 · Cited by 1,141
Flow online: lessons learned and future prospects.
Hoffman, D. L., & Novak, T. P. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.003 · Cited by 954
Does the technology acceptance model predict actual use? A systematic literature review
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2009.11.005 · Cited by 851
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Metadata
- Authors
- Sánchez-Franco, M. J.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2006-01
- Volume
- 25
- Issue
- 1
- Pages
- 19-36
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2090357011
- Cited by
- 236
- References
- 13
- FWCI
- 22.83
- Type
- journal article
- Language
- en
- Open access
- closed
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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.