破坏性领导对安全绩效影响的条件过程分析*

doi:10.16265/j.cnki.issn1003-3033.2021.08.003

摘要/Abstract

摘要： 为探索破坏性领导对安全绩效的作用机制与边界作用条件,提高员工安全绩效水平,以辽宁省8家制造业企业基层员工为调查对象,引入情绪耗竭为中介变量、自我效能感为调节变量,采用条件过程分析方法,对315份有效问卷进行实证研究。结果表明:破坏性领导与自我效能感、安全绩效呈显著负相关关系;情绪耗竭与自我效能感、安全绩效呈显著负相关关系。破坏性领导对安全绩效有直接负向影响,并可以通过情绪耗竭间接影响安全绩效。自我效能感负向调节破坏性领导与情绪耗竭之间的关系,并可进一步调节情绪耗竭在破坏性领导与安全绩效之间的中介作用。改善领导风格、控制情绪耗竭的发生、增强员工自我效能感,可有效提高安全绩效水平,减少安全生产事故的发生。

关键词: 破坏性领导, 安全绩效, 情绪耗竭, 自我效能感, 条件过程分析

Abstract: In order to explore impact mechanism and boundary conditions of destructive leadership on employees' safety performance so as to improve it, emotional depletion was introduced as an intermediary variable and self-efficacy as a moderator variable. Then, with grassroots employees of 8 manufacturing enterprises in Liaoning province as investigation objects, conditional process analysis method was adopted to study 315 valid questionnaires from them. The results show that destructive leadership is significantly negatively correlated with self-efficacy and safety performance, and so is emotional exhaustion with them. Destructive leadership has a direct negative impact on safety performance, and can also affect it indirectly through emotional exhaustion. Self-efficacy negatively regulates the relationship between destructive leadership and emotional exhaustion, and then further regulates the latter's mediating role between destructive leadership and safety performance. Improving leadership style, controlling emotional exhaustion and enhancing employees' sense of self-efficacy can effectively improve safety performance and reduce accidents.

Key words: destructive leadership, safety performance, emotional exhaustion, self-efficacy, conditional process analysis

中图分类号:

X915.2

冯亚娟, 邢仲超. 破坏性领导对安全绩效影响的条件过程分析^*[J]. 中国安全科学学报, 2021, 31(8): 14-21.

FENG Yajuan, XING Zhongchao. Research on impacts of destructive leadership on safety performance based on conditional process analysis[J]. China Safety Science Journal, 2021, 31(8): 14-21.

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破坏性领导对安全绩效影响的条件过程分析^*

Research on impacts of destructive leadership on safety performance based on conditional process analysis

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