了解特定技术压力源对压力和工作表现的影响:对经验证据的元分析

Qin Yuan, Jun Kong, Chun Liu, Yushi Jiang
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引用次数: 0

摘要

虽然近年来技术压力现象受到了研究者的极大关注,但关于特定形式的技术压力源的后果的实证研究结果仍然分散和矛盾。作者的目的是整合以往研究的结论,以了解特定的技术压力源对压力和工作绩效的影响。设计/方法/方法本研究采用元分析技术来校准67项研究的结果,调查了63,100多名员工。一般来说,并不是所有的科技压力源都有负面影响。特别是,技术不确定性不会影响工作绩效。此外,相对权重分析揭示了技术复杂性和技术不安全感作为压力和工作绩效预测因素的相对重要性。最后,本研究发现特定技术压力源对工作绩效的影响因研究参与者的性别、受教育程度和就业状况而异。原创性/价值首先,这项研究对特定技术压力源的影响提供了更细致的看法。其次,本研究澄清了特定技术压力源作为压力和工作绩效预测因子的相对重要性。最后,本研究揭示了人口统计学变量对特定技术压力源与工作绩效之间关系的调节作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the effects of specific techno-stressors on strain and job performance: a meta-analysis of the empirical evidence
PurposeWhile the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.Design/methodology/approachThis study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.FindingsIn general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.Originality/valueFirst, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.
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