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Cited by 506

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Women in the information technology profession: a literature review, synthesis and research agenda

Ahuja, M K·2002·European Journal of Information Systems

Abstract

Gender differences in IT careers appear to be affecting the competitiveness of companies globally. It is posited that given the current labor shortage in the IT industry, it has become more important than ever to reduce sources of leakage in the IT career paths of women. A model of barriers faced by women in the field of information technology is presented. Three distinct career stages of career choices, persistence and advancement are analyzed. At each stage, the effects of social and structural factors which may act as barriers are identified and discussed. Social factors include social expectations, work–family conflict and informal networks, while the structural factors are occupational culture, lack of role models and mentors, demographic composition and institutional structures. A proposed research agenda is offered. It is suggested that these social and structural factors as well as their interactions will result in turnover of women in IT.

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Crossref · 10.1057/palgrave.ejis.3000417

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Metadata

Authors
Ahuja, M. K.
Venue
European Journal of Information Systems
Published
2002-03
Volume
11
Issue
1
Pages
20-34
ISSN
  • 0960-085X (ISSN-L)
  • 1476-9344
OpenAlex
W1975528784
Cited by
506
References
88
FWCI
22.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Women in the information technology profession: a literature review, synthesis and research agenda. https://app.cochat.ai/papers/10.1057/palgrave.ejis.3000417
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Ahuja, M. K. (2002). Women in the information technology profession: a literature review, synthesis and research agenda. European Journal of Information Systems. https://doi.org/10.1057/palgrave.ejis.3000417

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.