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p-Index From 2021 - 2026
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All Journal Journal of Economics, Entrepreneurship, Management Business and Accounting
Amlan Haque
CQ University, Australia
Economics, Econometrics & Finance

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Artificial Intelligence, Sustainable Human Resource Management, and Organisational Sustainability: A Multi-Level Integrative Framework Masyhuri Masyhuri; Iqbal Lhutfi; Siswanto Siswanto; Amlan Haque
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 4 No 4 (2026): Volume 4, Issue 4, July 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v4i4.1255

Abstract

Purpose – This study proposes a multilevel integrative framework explaining how AI capabilities are transformed into sustainability outcomes through HRM architectures and employee mechanisms under institutional and governance contingencies. Design/methodology/approach – A systematic literature review (SLR) was conducted following PRISMA guidelines. This study identified 326 records, of which 36 studies met the inclusion criteria and were included in the final review. Finding/Results –The findings indicate that AI enhances sustainable HRM by strengthening employee abilities, motivation, and opportunities, while simultaneously enabling organisational dynamic capabilities such as sensing, seizing, and transforming. From a socio-technical perspective, effective AI implementation depends on the alignment between technological systems and human factors. Originality/Value – This study provides theoretical and practical implications by demonstrating that the integration of the AMO framework, dynamic capabilities, and socio-technical systems strengthens the understanding of how AI-driven HRM contributes to sustainability has implication for managers, policy makers and regulators.
Co-Authors Iqbal Lhutfi Masyhuri Masyhuri Siswanto Siswanto