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Cited by 364

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Predicting safe employee behavior in the steel industry: Development and test of a sociotechnical model

Brown, Karen A, Willis, P.Geoffrey, Prussia, Gregory E·2000·Journal of Operations Management

Abstract

Industrial safety is an important issue for operations managers — it has implications for cost, delivery, quality, and social responsibility. Minor accidents can interfere with production in a variety of ways, and a serious accident can shut down an entire operation. In this context, questions about the causes of workplace accidents are highly relevant. There is a popular notion that employees' unsafe acts are the primary causes of workplace accidents, but a number of authors suggest a perspective that highlights influences from operating and social systems. The study described herein addresses this subject by assessing steelworkers' responses to a survey about social, technical, and personal factors related to safe work behaviors. Results provide evidence that a chain reaction of technical and social constructs operate through employees to influence safe behaviors. These results demonstrate that safety hazards, safety culture, and production pressures can influence safety efficacy and cavalier attitudes, on a path leading to safe or unsafe work behaviors. Based on these results, we conclude with prescriptions for operations managers and others who play roles in the causal sequence.

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Metadata

Authors
Brown, K. A., Willis, P. G., & Prussia, G. E.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2000-06
Volume
18
Issue
4
Pages
445-465
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W1971180591
Cited by
364
References
40
FWCI
11.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predicting safe employee behavior in the steel industry: Development and test of a sociotechnical model. https://app.cochat.ai/papers/10.1016/s0272-6963(00)00033-4
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Brown, K. A., Willis, P. G., & Prussia, G. E. (2000). Predicting safe employee behavior in the steel industry: Development and test of a sociotechnical model. Journal of Operations Management. https://doi.org/10.1016/s0272-6963(00)00033-4

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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.