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多层次模型在解释安全氛围与安全行为之间的关系中的应用。

Multilevel models in the explanation of the relationship between safety climate and safe behavior.

机构信息

Loughborough University (UK).

出版信息

Span J Psychol. 2013;16:E54. doi: 10.1017/sjp.2013.38.

DOI:10.1017/sjp.2013.38
PMID:23866251
Abstract

This study examines the relationships between components of organizational safety climate, including employee attitudes to organizational safety issues; perceptions of the physical working environment, and evaluations of worker engagement with safety issues; and relates these to self-reported levels of safety behavior. It attempts to explore the relationships between these variables in 1189 workers across 78 work groups in a large transportation organization. Evaluations of safety climate, the working environment and worker engagement, as well as safe behaviors, were collected using a self report questionnaire. The multilevel analysis showed that both levels of evaluation (the work group and the individual), and some cross-level interactions, were significant in explaining safe behaviors. Analyses revealed that a number of variables, at both levels, were associated with worker engagement and safe behaviors. The results suggest that, while individual evaluations of safety issues are important, there is also a role for the fostering of collective safety climates in encouraging safe behaviors and therefore reducing accidents.

摘要

本研究考察了组织安全氛围的组成部分之间的关系,包括员工对组织安全问题的态度;对物理工作环境的看法,以及对工人参与安全问题的评估;并将这些与自我报告的安全行为水平联系起来。它试图在一个大型运输组织的 78 个工作小组中的 1189 名工人中探索这些变量之间的关系。使用自我报告问卷收集了安全氛围、工作环境和工人参与度以及安全行为的评估。多水平分析表明,评估水平(工作小组和个人)以及一些跨水平交互作用,对解释安全行为都具有重要意义。分析表明,许多变量,无论是在哪个水平上,都与工人的参与度和安全行为有关。结果表明,虽然个人对安全问题的评估很重要,但培养集体安全氛围对于鼓励安全行为从而减少事故也具有重要作用。

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