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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
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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
Creating value for employees: investment in employee development
Lee, C. H., & Bruvold, N. T. (2003) · The International Journal of Human Resource Management · doi:10.1080/0958519032000106173 · Cited by 632
LMX differentiation: A multilevel review and examination of its antecedents and outcomes
Henderson, D. J., Liden, R. C., Glibkowski, B. C., & Chaudhry, A. (2009) · The Leadership Quarterly · doi:10.1016/j.leaqua.2009.04.003 · Cited by 428
A Motivational Model of Work Turnover
Richer, S. F., Blanchard, C., & Vallerand, R. J. (2002) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2002.tb02065.x · Cited by 399
Chinese teachers’ work stress and their turnover intention.
Liu, S., & Onwuegbuzie, A. J. (2012) · International Journal of Educational Research · doi:10.1016/j.ijer.2012.03.006 · Cited by 350
JOB SEARCH BEHAVIOR OF EMPLOYED MANAGERS
BRETZ, R. D., BOUDREAU, J. W., & JUDGE, T. A. (1994) · Personnel Psychology · doi:10.1111/j.1744-6570.1994.tb01725.x · Cited by 297
Prediction of Employee Turnover in Organizations using Machine Learning Algorithms
Punnoose, R., & Ajit, P. (2016) · International Journal of Advanced Research in Artificial Intelligence · doi:10.14569/ijarai.2016.050904 · Cited by 244
“In a metaanalytic review of voluntary turnover studies [3], it was found that the strongest predictors for voluntary turnover were age, tenure, pay, overall job satisfaction, and employee’s perceptions of fairness.”
BackgroundHardiness and Support at Work as Predictors of Work Stress and Job Satisfaction
McCalister, K. T., Dolbier, C. L., Webster, J. A., Mallon, M. W., & Steinhardt, M. A. (2006) · American Journal of Health Promotion · doi:10.4278/0890-1171-20.3.183 · Cited by 110
Liborius, P., & Kiewitz, C. (2022) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2022.103719 · Cited by 60
The Impact of Ideology Misfit on Open Source Software Communities and Companies1
Daniel, S. L., Maruping, L. M., Cataldo, M., & Herbsleb, J. (2018) · MIS Quarterly · doi:10.25300/misq/2018/14242 · Cited by 58
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.
