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The role of human resource systems in job applicant decision processes
Abstract
Given that organizations make choices about how to manage their human resources, information about the organization is often expressed or implied in the human resource systems that organizations implement. This study proposes that information conveyed through human resource systems affects applicant job choices, that particular systems will be more important to some people than to others, and that job acceptance will be influenced by the degree to which individual characteristics match the content of the system information presented. A policy-capturing design was used to assess the effects of human resource systems within the context of other variables that past research has shown to significantly influence job choices. Results suggested support for the importance of human resource systems in job choice decisions, and further suggested that the fit between individual characteristics and organizational settings described by these systems may be particularly important determinants of job acceptance.
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Cites
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Cited by
Corporate Social Performance As a Competitive Advantage in Attracting a Quality Workforce
Greening, D. W., & Turban, D. B. (2000) · Business & Society · doi:10.1177/000765030003900302 · Cited by 2,077
Chapman, D. S., Uggerslev, K. L., Carroll, S. A., Piasentin, K. A., & Jones, D. A. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.5.928 · Cited by 1,182
Ahuja, M. K., & Bennett, J. (2005) · MIS Quarterly · doi:10.2307/25148691 · Cited by 818
Boon, C., Den Hartog, D. N., Boselie, P., & Paauwe, J. (2011) · The International Journal of Human Resource Management · doi:10.1080/09585192.2011.538978 · Cited by 463
Why Are Individuals Attracted to Organizations?
Ehrhart, K. H., & Ziegert, J. C. (2005) · Journal of Management · doi:10.1177/0149206305279759 · Cited by 375
Metadata
- Authors
- Bretz, R.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 1994
- Volume
- 20
- Issue
- 3
- Pages
- 531-551
- ISSN
- 0149-2063 (ISSN-L)
- OpenAlex
- W1967263245
- Cited by
- 276
- References
- 2
- FWCI
- 5.37
- Type
- journal article
- Language
- en
- Open access
- closed
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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.