The Role of Artificial Intelligence in Improving Workplace Well-Being: A Systematic Review

Miguel-Ángel García-Madurga (), Ana-Isabel Gil-Lacruz, Isabel Saz-Gil and Marta Gil-Lacruz
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Miguel-Ángel García-Madurga: Department of Business Administration, School of Engineering and Architecture, University of Zaragoza, Campus Río Ebro, C/María de Luna, 3, 50018 Zaragoza, Spain
Ana-Isabel Gil-Lacruz: Department of Business Administration, School of Engineering and Architecture, University of Zaragoza, Campus Río Ebro, C/María de Luna, 3, 50018 Zaragoza, Spain
Isabel Saz-Gil: Department of Business Administration, Faculty of Social and Human Sciences of Teruel, University of Zaragoza, C/Atarazanas 4, 44003 Teruel, Spain
Marta Gil-Lacruz: Department of Psychology and Sociology, Faculty of Health Sciences, University of Zaragoza, C/Domingo Miral s/n, 50009 Zaragoza, Spain

Businesses, 2024, vol. 4, issue 3, 1-22

Abstract: In recent years, the use of artificial intelligence (AI) has significantly increased in the field of workplace well-being. This study systematically reviews the most common applications of AI in this context, covering literature published between 2018 and 2023, and evaluates both its current and potential impact. The research involved a comprehensive search in the Scopus and Web of Science databases, following PRISMA guidelines, resulting in 31 articles that met the inclusion criteria. The qualitative synthesis reveals that AI is being utilized in areas such as mental health monitoring, emotional support, personalized well-being programs, identification of psychosocial risk factors, and training and development. This review contributes to the existing literature by offering a detailed categorization of AI applications in workplace well-being, and it highlights the practical utility of AI in enhancing employee mental health and overall well-being. The findings suggest that AI has the potential to revolutionize the management of workplace well-being, providing actionable insights for both researchers and practitioners. Recommendations for future research are also discussed.

Keywords: artificial intelligence; workplace well-being; AI applications; mental health at work; systematic review (search for similar items in EconPapers)
JEL-codes: A1 D0 D4 D6 D7 D8 D9 E0 E2 E3 E4 E5 E6 E7 F0 F2 F3 F4 F5 F6 G0 G1 G2 H0 J0 K2 L0 L1 L2 M0 M1 M2 M3 M4 M5 N0 N1 N2 O0 O1 P0 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jbusin:v:4:y:2024:i:3:p:24-410:d:1468044

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