The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.
Collective Turnover at the Group, Unit, and Organizational Levels: Evidence, Issues, and Implications
Abstract
Studies of the causes and consequences of turnover at the group, unit, or organizational level of analysis have proliferated in recent years. Indicative of its importance, turnover rate research spans numerous academic disciplines and their respective journals. This broad interest is fueled by the considerable implications of turnover rates predicting broader measures of organizational effectiveness (productivity, customer outcomes, firm performance) as well as by the related perspective that collective turnover is an important outcome in its own right. The goal of this review is to critically examine and extract meaningful insights from research on the causes and consequences of group, unit, and organizational turnover. The review is organized around five major “considerations,” including (1) measurement and levels of analysis issues, (2) consequences, (3) curvilinear and interaction effects, (4) methodological and conceptual issues, and (5) antecedents. The review concludes with broad directions for future research.
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Cites
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One hundred years of employee turnover theory and research.
Hom, P. W., Lee, T. W., Shaw, J. D., & Hausknecht, J. P. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000103 · Cited by 1,013
Self-citationMeta-Analytic Review of Employee Turnover as a Predictor of Firm Performance
Hancock, J. I., Allen, D. G., Bosco, F. A., McDaniel, K. R., & Pierce, C. A. (2013) · Journal of Management · doi:10.1177/0149206311424943 · Cited by 616
A High Performance Work Practices Taxonomy: Integrating the Literature and Directing Future Research
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Integrating strategic human capital and strategic human resource management
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Metadata
- Authors
- Hausknecht, J. P., & Trevor, C. O.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2010-10-07
- Volume
- 37
- Issue
- 1
- Pages
- 352-388
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2118361851
- Cited by
- 397
- References
- 122
- FWCI
- 22.67
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
