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数字化的“副作用”:一项关于员工角色过载与职业倦怠的研究

The 'side effects' of digitalization: A study on role overload and job burnout of employees.

作者信息

Zhang Quanjun, Dai Wei, Chen Jian, Gu Yuan, Zhao Yang

机构信息

Guangxi Big Data Research Institute, Nanning, Guangxi, China.

Institute of Science, Technology and Industrial Development, Sichuan College of Architectural Technology, Deyang, Sichuan, China.

出版信息

PLoS One. 2025 Apr 30;20(4):e0322112. doi: 10.1371/journal.pone.0322112. eCollection 2025.

Abstract

In the context of the digital economy, enterprise digitalization represents a significant opportunity to enhance core competitiveness. Nevertheless, the digitalization of enterprises may have unanticipated effects on employee's mental health, which could impede the digital advancement of the enterprise. Such consequences may be evidenced by employee role overload and burnout, which in turn impede enterprise digitalization. This study employed the JR-D model to investigate the empirical data obtained from 250 completed questionnaires by employees. The results indicated that (1) enterprise digitalization had a positive effect on young employees' levels of role overload and burnout; (2) employees' role overload served as a mediator between enterprise digitalization and burnout; (3) perceived organizational support moderated the direct predictive effect of enterprise digitalization on burnout and the indirect predictive effect of enterprise digitalization on burnout through role overload, respectively. The higher the level of perceived organizational support, the weaker the direct and indirect predictive effects would be. This study proposed measures and recommendations to mitigate the unintended consequences of digitalization and promote optimal advancement of enterprise digitalization.

摘要

在数字经济背景下,企业数字化是提升核心竞争力的重大机遇。然而,企业数字化可能会对员工心理健康产生意想不到的影响,进而阻碍企业的数字化进程。这种影响可能表现为员工角色过载和倦怠,进而阻碍企业数字化。本研究采用JR-D模型,对员工填写的250份完整问卷所获得的实证数据进行了调查。结果表明:(1)企业数字化对年轻员工的角色过载和倦怠水平有正向影响;(2)员工的角色过载在企业数字化和倦怠之间起中介作用;(3)感知到的组织支持分别调节了企业数字化对倦怠的直接预测作用以及企业数字化通过角色过载对倦怠的间接预测作用。感知到的组织支持水平越高,直接和间接预测作用就越弱。本研究提出了减轻数字化意外后果、促进企业数字化最优发展的措施和建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f328/12043186/cf353adc7f17/pone.0322112.g001.jpg

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