The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Job Satisfaction and Psychological Well-Being as Nonadditive Predictors of Workplace Turnover
Abstract
Data from a 2-year field study were used to examine the relationships among psychological well-being, job satisfaction, and employee job performance with employee turnover. Using a sample of 112 managers employed at a large organization on the West Coast of the United States, and controlling for employee age, gender, ethnicity, and job performance, well-being and job satisfaction were found to predict turnover in a nonadditive manner. As expected, well-being was found to moderate the relation between job satisfaction and job separation, such that job satisfaction was most strongly (and negatively) related to turnover when well-being was low.
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Cites
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Cited by
Becker, T. E., Atinc, G., Breaugh, J. A., Carlson, K. D., Edwards, J. R., & Spector, P. E. (2016) · Journal of Organizational Behavior · doi:10.1002/job.2053 · Cited by 989
The ‘What’, ‘Why’ and ‘How’ of Employee Well-Being: A New Model
Page, K. M., & Vella-Brodrick, D. A. (2009) · Social Indicators Research · doi:10.1007/s11205-008-9270-3 · Cited by 550
Wright, T. A., & Goodstein, J. (2007) · Journal of Management · doi:10.1177/0149206307307644 · Cited by 209
Self-citationIntraindividual models of employee well-being: What have we learned and where do we go from here?
Ilies, R., Aw, S. S. Y., & Pluut, H. (2015) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2015.1071422 · Cited by 167
The many benefits of employee well‐being in organizational research
Wright, T. A., & Huang, C. (2012) · Journal of Organizational Behavior · doi:10.1002/job.1828 · Cited by 168
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Metadata
- Authors
- Wright, T. A., & Bonett, D. G.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2007-04
- Volume
- 33
- Issue
- 2
- Pages
- 141-160
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2060581865
- Cited by
- 694
- References
- 16
- FWCI
- 36.52
- 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.