袁晓芳,贾倩荷,孙林辉. 基于元分析的煤矿工人不安全行为影响因素及其调节变量[J]. 煤矿安全,2023,54(11):245−250. doi: 10.13347/j.cnki.mkaq.2023.11.034
    引用本文: 袁晓芳,贾倩荷,孙林辉. 基于元分析的煤矿工人不安全行为影响因素及其调节变量[J]. 煤矿安全,2023,54(11):245−250. doi: 10.13347/j.cnki.mkaq.2023.11.034
    YUAN Xiaofang, JIA Qianhe, SUN Linhui. Influencing factors and moderating variables of unsafe behavior of coal miners based on meta-analysis[J]. Safety in Coal Mines, 2023, 54(11): 245−250. doi: 10.13347/j.cnki.mkaq.2023.11.034
    Citation: YUAN Xiaofang, JIA Qianhe, SUN Linhui. Influencing factors and moderating variables of unsafe behavior of coal miners based on meta-analysis[J]. Safety in Coal Mines, 2023, 54(11): 245−250. doi: 10.13347/j.cnki.mkaq.2023.11.034

    基于元分析的煤矿工人不安全行为影响因素及其调节变量

    Influencing factors and moderating variables of unsafe behavior of coal miners based on meta-analysis

    • 摘要: 为明确我国煤矿智能化变革中影响煤矿工人不安全行为的关键因素及潜在的调节变量,探究研究结论不一致的原因。利用元分析对24篇实证文献,71个效应值进行了定量文献分析,识别出12个关键影响因素,并检验了样本量、调查地区、文献类型和发表年份4个变量的调节效应。结果表明,除领导风格和管理制度外,不安全心理、工作投入和安全监管具有高等效应量,主观幸福感、组织公平、安全态度、心智游离、情感情绪和人际关系具有中等效应量,而安全氛围具有低等效应量。研究还发现,以样本量、调查地区、发表年份和文献类型作为调节变量可以部分揭示不同研究之间的差异情况。

       

      Abstract: To identify the key factors and potential moderating variables influencing coal miners’ unsafe behaviors in the intelligent change of China’s coal mines and to explore the reasons for inconsistent research findings, a quantitative literature analysis was conducted using meta-analysis on 24 empirical papers with 71 effect values to identify 12 key influencing factors and to test the moderating effects of four variables: sample size, survey area, type of literature, and year of publication. The results indicated that, in addition to leadership style and management system, insecurity psychology, work engagement, and safety supervision had high effect size, subjective well-being, organizational equity, safety attitudes, mental wandering, affective emotions, and interpersonal relationships had moderate effect size, and safety climate had low effect size. It was also found that using sample size, survey region, year of publication, and type of literature as moderating variables could partially reveal the differences between studies.

       

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