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Cited by 236

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

Sánchez-Franco, Manuel J.·2006·Behaviour & Information Technology

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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Metadata

Authors
Sánchez-Franco, M. J.
Venue
Behaviour & Information Technology
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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CoChat. (2026). Citation check: Exploring the influence of gender on the web usage via partial least squares. https://app.cochat.ai/papers/10.1080/01449290500124536
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Sánchez-Franco, M. J. (2006). Exploring the influence of gender on the web usage via partial least squares. Behaviour & Information Technology. https://doi.org/10.1080/01449290500124536

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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.