The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support

Guanglu Xu, Ming Xue () and Jidi Zhao
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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

IJERPH, 2023, vol. 20, issue 6, 1-16

Abstract: The combination of artificial intelligence (AI) technology with the real economy has dramatically improved the efficiency of enterprises. However, the replacement of AI for employment also significantly impacts employees’ cognition and psychological state. Based on the Conservation of Resources Theory, the relationship between AI awareness and employee depression is explored in this article while examining the mediating role of emotional exhaustion, as well as the moderating role of perceived organizational support. Based on a sample of 321 respondents, the empirical results show that (1) AI awareness is significantly positively correlated with depression; (2) emotional exhaustion plays a mediating role between AI awareness and depression; (3) perceived organizational support negatively moderates the relationship between emotional exhaustion and depression; (4) perceived organizational support negatively moderates the mediating role of emotional exhaustion between AI awareness and depression. The research conclusions provide a theoretical basis for organizations to take measures to intervene in the negative impact of changes in AI technology on employees’ mental health.

Keywords: artificial intelligence awareness; emotional exhaustion; depression; perceived organizational support (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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