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Cited by 410

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The effects of job demands and control on employee attendance and satisfaction

Dwyer, Deborah J., Ganster, Daniel C.·1991·Journal of Organizational Behavior

Abstract

We examined the impact of stressful job demands on employee attitudes and attendance. Using Karasek's (1979) theory of job decision latitude as the conceptual foundation, we hypothesized that mental and physical work demands would interact with employee beliefs of personal control. Survey data from 90 male manufacturing employees regarding their control beliefs were combined with objective job analysis data concerning mental and physical demands and one year's worth of archival data regarding unexcused absences, sick days, and days tardy. There were significant interactions between control and objective psychological demands that indicated that these demands were associated with higher levels of tardiness and sick days only under conditions of low perceived control. In contrast, subjective workload ratings showed no relationship with tardiness and sick days, but, in interaction with control, predicted work satisfaction and voluntary absence. We discussed these results in terms of a stress process that affects health‐related attendance independent of employee attitudes.

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Crossref · 10.1002/job.4030120704

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Metadata

Authors
Dwyer, D. J., & Ganster, D. C.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
1991-12
Volume
12
Issue
7
Pages
595-608
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2143730404
Cited by
410
References
1
FWCI
4.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The effects of job demands and control on employee attendance and satisfaction. https://app.cochat.ai/papers/10.1002/job.4030120704
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Dwyer, D. J., & Ganster, D. C. (1991). The effects of job demands and control on employee attendance and satisfaction. Journal of Organizational Behavior. https://doi.org/10.1002/job.4030120704

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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.