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

被引:239
作者
Brown, KA
Willis, PG
Prussia, GE
机构
[1] Seattle Univ, Albers Sch Business& Econ, Dept Management, Seattle, WA 98122 USA
[2] Univ Cent Oklahoma, Coll Business, Dept Decis Sci, Edmond, OK 73034 USA
关键词
workplace safety; industrial accidents; unsafe work practices; safety-efficacy; safety hazards; safety climate; accident diagnosis;
D O I
10.1016/S0272-6963(00)00033-4
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:445 / 465
页数:21
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