The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Work-Unit Absenteeism: Effects of Satisfaction, Commitment, Labor Market Conditions, and Time
Abstract
Prior research is limited in explaining absenteeism at the unit level and over time. We developed and tested a model of unit-level absenteeism using five waves of data collected over six years from 115 work units in a large state agency. Unit-level job satisfaction, organizational commitment, and local unemployment were modeled as time-varying predictors of absenteeism. Shared satisfaction and commitment interacted in predicting absenteeism but were not related to the rate of change in absenteeism over time. Unit-level satisfaction and commitment were more strongly related to absenteeism when units were located in areas with plentiful job alternatives.
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Cites
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Cited by
Dul, J. (2016) · Organizational Research Methods · doi:10.1177/1094428115584005 · Cited by 1,360
Judge, T. A., & Kammeyer-Mueller, J. D. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100511 · Cited by 511
Hausknecht, J. P., & Trevor, C. O. (2011) · Journal of Management · doi:10.1177/0149206310383910 · Cited by 397
Self-citationBarsade, S. G., & O’Neill, O. A. (2014) · Administrative Science Quarterly · doi:10.1177/0001839214538636 · Cited by 379
Consiglio, C., Borgogni, L., Alessandri, G., & Schaufeli, W. B. (2013) · Work & Stress · doi:10.1080/02678373.2013.769325 · Cited by 135
Metadata
- Authors
- Hausknecht, J. P., Hiller, N. J., & Vance, R. J.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2008-12
- Volume
- 51
- Issue
- 6
- Pages
- 1223-1245
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2171169897
- Cited by
- 190
- References
- 8
- FWCI
- 12.37
- Type
- journal article
- Language
- en
- Open access
- closed
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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.