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Women, information technology and ‘waves of optimism’: Australian evidence on ‘mixed‐skill’ jobs
Abstract
Optimism about the increased engagement of women in information technology employment has been informed, in part, by essentialist ideas about the suitability for women of emerging jobs combining technical with interpersonal, artistic or other ‘non‐technical’ skills. Drawing on evidence from Australia, we highlight limitations to this brand of optimism, questioning the potential for women in mixed‐skill jobs in computing and multimedia organisations.
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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 Roan and Whitehouse 2007
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Cites
Interaction and the Conservation of Gender Inequality: Considering Employment
Ridgeway, C. L. (1997) · American Sociological Review · doi:10.2307/2657301 · Cited by 939
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Cited by
Hodder, A., Valizade, D., Hardy, K., MacKenzie, R., & Smith, A. (2026) · New Technology, Work and Employment · doi:10.1111/ntwe.70054
Metadata
- Authors
- Roan, A., & Whitehouse, G.
- Venue
- New Technology, Work and Employment
- Publisher
- Wiley
- Published
- 2007-03
- Volume
- 22
- Issue
- 1
- Pages
- 21-33
- ISSN
- 0268-1072
- 1468-005X
- Cited by
- 23
- References
- 1
- Language
- en
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- Roan, A., & Whitehouse, G. (2007). Women, information technology and ‘waves of optimism’: Australian evidence on ‘mixed‐skill’ jobs. New Technology, Work and Employment. https://doi.org/10.1111/j.1468-005x.2007.00181.x
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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.