Citation

Peiris, Dombagaha Pathiranage Marian Shavini Medonka (2026) Artificial Intelligence and Employee Well-Being: A Systematic Literature Review. International Journal of Management Finance and Accounting, 7 (1). p. 475. ISSN 2735-1009

Text chan970827,+2164-Other-22124-1-11-20251019.pdf - Published Version Restricted to Repository staff only Download (865kB)

Abstract

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersection of AI and well-being is growing, empirical research in this domain remains limited and underdeveloped. This study's primary objective was to assess the current knowledge in this domain, with a secondary aim of identifying critical research gaps to inform future investigations. Adhering to PRISMA guidelines, this systematic literature review analysed 23 empirical studies published between 2015 and 2025, sourced from the Lens.org and ProQuest databases and was guided by the Job Demands Resources (JD–R) model. Keyword co-occurrence analysis using VOSviewer revealed five dominant themes: (1) Tech-induced stress, (2) AI-driven success, (3) Mental resilience, (4) Digital boundaries, and (5) Emotional wellness. The density visualisation map highlighted significant gaps in the existing literature. Despite increasing scholarly attention, the review reveals that significant empirical gaps still remain in the literature. By synthesising current knowledge and identifying critical research gaps, this review offers practical insights for developing human-centred AI strategies and establishes a research agenda for advancing employee well-being in increasingly digital workplaces.

Item Type:	Article
Uncontrolled Keywords:	Artificial Intelligence (AI), Employees' Well-Being, Mental Well-being, Systematic Literature Review (SLR)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Others
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	08 Jul 2026 08:05
Last Modified:	08 Jul 2026 08:05
URII:	http://shdl.mmu.edu.my/id/eprint/16271

Downloads

Edit (login required)