The DOI matches its Crossref record.
Gendered patterns in computing work in the late 1990s
Abstract
Computing is one of the most growing industries offering many opportunities for employment and advancement. Furthermore it is one of the newest industries which comprises of mainly young firms and relatively freshly constituted forms of working practices. Using empirical work in the UK, this paper presents and asesses gendered patterns of work and employment in the computing sector whilst comparing it to other traditionally male‐dominated sectors.
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“The role of ICT technology in the gendering of jobs is a theme that has continued to resonate from the early days of NTWE and into current contributions (Panteli et al. 2001;Roan and Whitehouse 2007;Regin 2023).”
From Reflecting on 40 Years of New Technology, Work and Employment: Insights From the Current Editors on the Past and Prospects for the Future (2026) · cites this paper as Panteli et al. 2001
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Cited by
Math and science motivation: a longitudinal examination of the links between choices and beliefs
Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006) · Developmental Psychology · doi:10.1037/0012-1649.42.1.70 · Cited by 808
Hodder, A., Valizade, D., Hardy, K., MacKenzie, R., & Smith, A. (2026) · New Technology, Work and Employment · doi:10.1111/ntwe.70054
Metadata
- Authors
- Panteli, N., Stack, J., & Ramsey, H.
- Venue
- New Technology, Work and Employment
- Publisher
- Wiley
- Published
- 2001-03
- Volume
- 16
- Issue
- 1
- Pages
- 3-17
- ISSN
- 0268-1072
- 1468-005X
- Cited by
- 58
- References
- 0
- Language
- en
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- Panteli, N., Stack, J., & Ramsey, H. (2001). Gendered patterns in computing work in the late 1990s. New Technology, Work and Employment. https://doi.org/10.1111/1468-005x.00073
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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.
