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Management Women and the New Facts of Life
Abstract
The recognition that an increasing proportion of the workforce over the next decade will be women has important implications for corporate employers, not least in the area of leadership positions. Two types of women in organisations are defined – career-primary and career-and-family – and it is asserted that if organisations are to retain their competitive advantage they must recognise the value of both types and provide a more flexible work environment. This will benefit both the individual and the employer. The individual will have freedom of choice between career or family, or a combination of both;and the employer will be able to retain a valuable resource – the talented women executives.
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Citations
Cited by
Processes linking work and family: a critical review and research agenda
Lambert, S. J. (1990) · Human Relations · doi:10.1177/001872679004300303 · Cited by 592
Haslam, S. A., & Ryan, M. K. (2008) · The Leadership Quarterly · doi:10.1016/j.leaqua.2008.07.011 · Cited by 469
Entrepreneurship as a solution: the allure of self-employment for women and minorities
Heilman, M. E., & Chen, J. J. (2003) · Human Resource Management Review · doi:10.1016/s1053-4822(03)00021-4 · Cited by 299
Beach Time, Bridge Time, and Billable Hours: The Temporal Structure of Technical Contracting
Evans, J. A., Kunda, G., & Barley, S. R. (2004) · Administrative Science Quarterly · doi:10.2307/4131454 · Cited by 234
Correlation of gender-related values of independence and relationship and leadership orientation
Butz, C. E., & Lewis, P. V. (1996) · Journal of Business Ethics · doi:10.1007/bf00412813 · Cited by 36
Metadata
- Authors
- Schwartz, F. N.
- Venue
- Women in Management Review & Abstracts
- Publisher
- Emerald
- Published
- 1989-05-01
- Volume
- 4
- Issue
- 5
- ISSN
- 0955-8357 (ISSN-L)
- 2977-716X
- OpenAlex
- W1964442485
- Cited by
- 499
- References
- 0
- Type
- conference abstract
- Language
- en
- Open access
- closed
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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.