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人工智能机会感知与员工工作场所幸福感的关系:一个有调节的中介模型。

The Relationship of Artificial Intelligence Opportunity Perception and Employee Workplace Well-Being: A Moderated Mediation Model.

机构信息

School of Business, Nanjing University of Information Science & Technology, Nanjing 210044, China.

School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201620, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 20;20(3):1974. doi: 10.3390/ijerph20031974.

Abstract

Several previous studies have revealed a positive relationship between artificial intelligence (AI) technology development and employees' employment, income, and job performance. If individuals can seize the opportunity to master the knowledge and skills relevant to the implementation of AI, they could make career progress and improve their workplace well-being (WWB). Based on the transactional theory of stress and resource conservation theory, we constructed a moderated mediation model to explore the relationship between AI opportunity perception and employees' WWB and examine the mediating factor of informal learning in the workplace (ILW), as well as the moderating factor of unemployment risk perception (URP). Through a survey of 268 employees, our results showed the following: (1) AI opportunity perception was significantly positively correlated with employees' WWB; (2) ILW played a mediating role in the positive relationship between AI opportunity perception and employees' WWB; and (3) URP negatively moderated the mediating relationship of ILW between AI opportunity perception and employees' WWB. Our research results have a guiding significance for enterprises seeking to promote WWB during AI application.

摘要

先前的几项研究表明,人工智能(AI)技术的发展与员工的就业、收入和工作绩效之间存在积极的关系。如果个人能够抓住机会掌握与实施 AI 相关的知识和技能,他们就可以获得职业发展并提高工作场所的幸福感(WWB)。基于压力的交易理论和资源保存理论,我们构建了一个中介调节模型,以探讨 AI 机会感知与员工 WWB 之间的关系,并检验工作场所非正式学习(ILW)的中介因素以及失业风险感知(URP)的调节因素。通过对 268 名员工的调查,我们的研究结果表明:(1)AI 机会感知与员工的 WWB 呈显著正相关;(2)ILW 在 AI 机会感知与员工 WWB 之间的积极关系中起中介作用;(3)URP 负向调节了 AI 机会感知与员工 WWB 之间的 ILW 中介关系。我们的研究结果对企业在应用 AI 时寻求提高 WWB 具有指导意义。

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