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Employee Turnover: A Meta-Analysis and Review with Implications for Research
Abstract
Studies of employee turnover are reviewed using meta-analytic techniques. The findings indicate that almost all of the 26 variables studied relate to turnover. The findings also indicate that study variables including population, nationality, and industry moderate relationships between many of the variables and turnover. It is suggested that future research on employee turnover: (1) report study variables, (2) continue model testing rather than simply correlating variables with turnover, and (3) incorporate study variables into future models.
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Citations
Cites
Consequences of prejudice against the null hypothesis.
Greenwald, A. G. (1975) · Psychological Bulletin · doi:10.1037/h0076157 · Cited by 1,022
Cited by
A three-component conceptualization of organizational commitment
Meyer, J. P., & Allen, N. J. (1991) · Human Resource Management Review · doi:10.1016/1053-4822(91)90011-z · Cited by 11,049
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
TETT, R. P., & MEYER, J. P. (1993) · Personnel Psychology · doi:10.1111/j.1744-6570.1993.tb00874.x · Cited by 4,114
The convergent and discriminant validity of subjective fit perceptions.
Cable, D. M., & DeRue, D. S. (2002) · Journal of Applied Psychology · doi:10.1037/0021-9010.87.5.875 · Cited by 2,224
A Guide to Conducting a Standalone Systematic Literature Review
Okoli, C. (2015) · Communications of the Association for Information Systems · doi:10.17705/1cais.03743 · Cited by 1,413
Metadata
- Authors
- Cotton, J. L., & Tuttle, J. M.
- Venue
- Academy of Management Review
- Publisher
- Academy of Management
- Published
- 1986-01
- Volume
- 11
- Issue
- 1
- Pages
- 55
- ISSN
- 0363-7425 (ISSN-L)
- OpenAlex
- W2130587679
- Cited by
- 1,491
- References
- 1
- FWCI
- 6.48
- 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.
