Artificial Intelligence, Sustainable Human Resource Management, and Organisational Sustainability: A Multi-Level Integrative Framework

Masyhuri Masyhuri; Iqbal Lhutfi; Siswanto Siswanto; Amlan Haque

doi:10.61255/jeemba.v4i4.1255

Authors

Masyhuri Institute Technology and Business Widya Gama Lumajang, Indonesia
Iqbal Lhutfi Universitas Pendidikan Indonesia, Indonesia
Siswanto Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia
Amlan Haque CQ University, Australia

DOI:

https://doi.org/10.61255/jeemba.v4i4.1255

Keywords:

Artificial Intelligence, Human Resource Management, Systematic Literature Review, Sustainability

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.

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