预测钢铁行业员工安全行为:社会技术模型的开发与检验

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

JOURNAL OF OPERATIONS MANAGEMENT · 2000
被引 363
人大 AFT50UTD24ABS 4*

中文导读

研究通过调查钢铁工人,发现安全危害、安全文化和生产压力通过影响安全效能和轻率态度,进而影响安全行为,为运营管理者提供干预建议。

Abstract

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.

工业安全运营管理组织行为社会技术系统