The DOI matches its Crossref record; 189 of the 189 references it cites were found in a registry or an index.
Job Search and Voluntary Turnover in a Boundaryless world: a Control Theory Perspective
Abstract
We propose a cybernetic model of job search and voluntary turnover that is based on the need to remain employable in a volatile economy. The model depicts the process by which individuals engage in ongoing cycles of job search activities that can increase the likelihood of voluntary turnover, which, in turn, provides opportunities to develop additional career competencies. We then examine the implications of the model for future research on the turnover process.
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The Contemporary Career: A Work–Home Perspective
Greenhaus, J. H., & Kossek, E. E. (2014) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-031413-091324 · Cited by 391
Self-citationReassessing the protean career concept: Empirical findings, conceptual components, and measurement
Gubler, M., Arnold, J., & Coombs, C. (2014) · Journal of Organizational Behavior · doi:10.1002/job.1908 · Cited by 279
Finch, D., Hillenbrand, C., O’Reilly, N., & Varella, P. (2015) · Journal of Marketing Management · doi:10.1080/0267257x.2015.1076496 · Cited by 15
Metadata
- Authors
- Direnzo, M. S., & Greenhaus, J. H.
- Venue
- Academy of Management Review
- Publisher
- Academy of Management
- Published
- 2011-07
- Volume
- 36
- Issue
- 3
- Pages
- 567-589
- ISSN
- 0363-7425 (ISSN-L)
- 1930-3807
- OpenAlex
- W2021488797
- Cited by
- 277
- References
- 189
- FWCI
- 18.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Direnzo, M. S., & Greenhaus, J. H. (2011). Job Search and Voluntary Turnover in a Boundaryless world: a Control Theory Perspective. Academy of Management Review. https://doi.org/10.5465/amr.2009.0333
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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.
