The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Meta-Analytic Review of Employee Turnover as a Predictor of Firm Performance
Abstract
Previous research has primarily revealed a negative relationship between collective employee turnover and organizational performance. However, this research also suggests underlying complexity in the relationship. To clarify the nature of this relationship, the authors conduct a meta-analytic review in which they test and provide support for a portion of Hausknecht and Trevor’s model of collective turnover. The authors’ meta-analysis includes 48 independent samples reporting 157 effect size estimates ( N = 24,943), tests six hypothesized moderator variables, and provides path analyses to test alternative conceptualizations of the turnover–organizational performance relationship. Results indicate that the mean corrected correlation between turnover and organizational performance is −.03, but this relationship is moderated by several important variables. For example, the relationship is stronger in manufacturing and transportation industries (−.07), for managerial employees (−.08), in midsize organizations (−.07), in samples from labor market economies (−.05), and when organizational performance is operationalized in terms of customer service (−.10) or quality and safety (−.12) metrics. In addition, proximal performance outcomes mediate relationships with financial performance. The authors discuss implications of their results for theory and practice and provide directions for future research.
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,737
Culture's Consequences: International Differences in Work-Related Values.
Sorge, A., & Hofstede, G. (1983) · Administrative Science Quarterly · doi:10.2307/2393017 · Cited by 15,062
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
Statistical Methods for Meta-Analysis
Wasserman, S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,326
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Varieties of Capitalism: The Institutional Foundations of Comparative Advantage
Porter, P. K., Hall, P., & Soskice, D. (2003) · The Academy of Management Review · doi:10.2307/30040740 · Cited by 7,510
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Tufte, E. R., Cohen, J., & Cohen, P. (1979) · Journal of the American Statistical Association · doi:10.2307/2286442 · Cited by 5,180
Research works printed but not linked: 17
- 10.1037/0021-9010.64.6.654 · doi:10.1037/0021-9010.64.6.654
- 10.2307/256713 · doi:10.2307/256713 · Paper page
- 10.1037/0021-9010.75.6.698 · doi:10.1037/0021-9010.75.6.698 · Paper page
- 10.5465/19416520802211552 · DOI · Paper page
- 10.1080/002075497194354 · doi:10.1080/002075497194354
- Jeswald T. A., 1974, Contemporary problems in personnel: Readings for the seventies, 352
- 10.2307/259141 · doi:10.2307/259141 · Paper page
- March J. G., 1958, Organizations
- 10.1037/0021-9010.86.6.1294 · doi:10.1037/0021-9010.86.6.1294
- *Mohr D. C., 2009, Paper presented at the annual meeting of the Academy of Management
- 10.1080/09585190121674 · doi:10.1080/09585190121674
- *Ryan A. M., 1986, Personnel Psychology, 49, 853
- *Shaw J. D., 2011, Voluntary turnover and organizational performance: Theoretical extension, tests, a constructive replication
- Staw B. M., 1980, Journal of Occupational Behavior, 1, 118
- U.S. Department of Commerce, 1999, U.S. manufacturers with products conforming to metric standards: An analysis. National Institute of Standards and Technology
- *Way S., 2002, Journal of Management, 28, 765
- Zamora E., 2010, Monthly Labor Review, 6, 32
Cited by
A Multi-Level Process Model for Understanding Diversity Practice Effectiveness
Nishii, L. H., Khattab, J., Shemla, M., & Paluch, R. M. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0044 · Cited by 233
Suspicion in the workplace: Organizational conspiracy theories and work‐related outcomes
Douglas, K. M., & Leite, A. C. (2017) · British Journal of Psychology · doi:10.1111/bjop.12212 · Cited by 132
A century of labour turnover research: A systematic literature review
Bolt, E. E. T., Winterton, J., & Cafferkey, K. (2022) · International Journal of Management Reviews · doi:10.1111/ijmr.12294 · Cited by 116
Seo, J. (., Nahrgang, J. D., Carter, M. Z., & Hom, P. W. (2018) · Journal of Applied Psychology · doi:10.1037/apl0000262 · Cited by 75
Crawford, J., Cui, Z.-Y. A., & Kewley, D. (2024) · Journal of Small Business Management · doi:10.1080/00472778.2023.2246061 · Cited by 60
Metadata
- Authors
- Hancock, J. I., Allen, D. G., Bosco, F. A., McDaniel, K. R., & Pierce, C. A.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2011-10-24
- Volume
- 39
- Issue
- 3
- Pages
- 573-603
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2164497524
- Cited by
- 616
- References
- 92
- FWCI
- 23.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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