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

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  • Guanglu Xu

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

  • Ming Xue

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

  • Jidi Zhao

    (School of Public Administration, College of Economics and Management, East China Normal University, Shanghai 200062, China)

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.

Suggested Citation

  • Guanglu Xu & Ming Xue & Jidi Zhao, 2023. "The Relationship of Artificial Intelligence Opportunity Perception and Employee Workplace Well-Being: A Moderated Mediation Model," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1974-:d:1042925
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    References listed on IDEAS

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    1. Miguel-Ángel García-Madurga & Ana-Isabel Gil-Lacruz & Isabel Saz-Gil & Marta Gil-Lacruz, 2024. "The Role of Artificial Intelligence in Improving Workplace Well-Being: A Systematic Review," Businesses, MDPI, vol. 4(3), pages 1-22, August.

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