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Outcomes of Meaningful Work: A Meta-Analysis

机译:有意义的工作成果:荟萃分析

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Using job characteristics theory as a framework, we calculated meta-analytic effect sizes between meaningful work and various outcomes and tested a mediated model of meaningful work predicting proximal and distal outcomes with meta-analytic structural equation modelling (MASEM). From 44 articles (N = 23,144), we found that meaningful work had large correlations (r = 0.70+) with work engagement, commitment, and job satisfaction; moderate to large correlations (r = 0.44 to -0.49) with life satisfaction, life meaning, general health, and withdrawal intentions; and small to moderate correlations (r = -0.19 to 0.33) with organizational citizenship behaviours, self-rated job performance, and negative affect. The best MASEM fitting model was meaningful work predicting work engagement, commitment, and job satisfaction and these variables subsequently predicting self-rated performance, organizational citizenship behaviours, and withdrawal intentions. This meta-analysis provides estimated effect sizes between meaningful work and its outcomes and reveals how meaningful work relates directly and indirectly to key outcomes.
机译:使用工作特征理论作为框架,我们计算了有意义的工作与各种结果之间的荟萃分析效果大小,并使用荟萃分析结构方程模型(MASEM)测试了有意义的工作介导的模型,预测了近端和远端的结果。从44篇文章(N = 23,144)中,我们发现有意义的工作与工作投入,承诺和工作满意度之间存在很大的相关性(r = 0.70+)。与生活满意度,生活意义,总体健康状况和戒断意向之间存在中等到较大的相关性(r = 0.44至-0.49);以及与组织公民行为,自我评估的工作绩效和负面影响之间的中小相关性(r = -0.19至0.33)。最好的MASEM拟合模型是有意义的工作,可以预测工作投入,承诺和工作满意度,而这些变量随后可以预测自我评估的绩效,组织公民行为和退缩意图。这项荟萃分析提供了有意义的工作及其成果之间的估计效应大小,并揭示了有意义的工作如何与关键成果直接或间接相关。

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