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Article
Early Determinants of Women in the IT Workforce: A Model of Girls’ Career Choices
Information Technology & People
  • Monica Adya, Marquette University
  • Kate Kaiser, Marquette University
Document Type
Article
Language
eng
Format of Original
30 p.
Publication Date
1-1-2005
Publisher
Emerald
Disciplines
Abstract

Purpose – To develop a testable model for girls’ career choices in technology fields based on past research and hypotheses about the future of the information technology (IT) workforce.

Design/Methodology/Approach – Review and assimilation of literature from education, psychology, sociology, computer science, IT, and business in a model that identifies factors that can potentially influence a girl’s choice towards or against IT careers. The factors are categorized into social factors (family, peers, and media), structural factors (computer use, teacher/counselor influence, same sex versus coeducational schools), and individual differences. The impact of culture on these various factors is also explored.

Findings – The model indicates that parents, particularly fathers, are the key influencers of girls’ choice of IT careers. Teachers and counselors provide little or no career direction. Hypotheses propose that early access to computers may reduce intimidation with technology and that same-sex education may serve to reduce career bias against IT.

Research Limitations/Implications – While the model is multidisciplinary, much of research from which it draws is five to eight years old. Patterns of career choices, availability of technology, increased independence of women and girls, offshore/nearshore outsourcings of IT jobs are just some of the factors that may be insufficiently addressed in this study.

Practical Implications – A “Recommendations” section provides some practical steps to increase the involvement of girls in IT-related careers and activities at an early age. The article identifies cultural research as a limitation and ways to address this.

Originality/value – The paper is an assimilation of literature from diverse fields and provides a testable model for research on gender and IT.

Comments

Accepted version. Information Technology & People, Vol. 18, No. 3 (2005): 230-259. DOI. © Emerald 2005. Used with permission.

Citation Information
Monica Adya and Kate Kaiser. "Early Determinants of Women in the IT Workforce: A Model of Girls’ Career Choices" Information Technology & People (2005) ISSN: 0959-3845
Available at: http://works.bepress.com/monica_adya/36/