ARTIFICIAL INTELLIGENCE IN TRANSFORMING HRM PROCESSES WITHIN ORGANIZATIONS

Gibson Muridzi, Shepherd Dhliwayo () and Diane A. Isabelle
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Gibson Muridzi: University of Johannesburg, 37 Bunting Road, Cottesloe, Johannesburg, 2092, South Africa
Shepherd Dhliwayo: University of Johannesburg, 37 Bunting Road, Cottesloe, Johannesburg, 2092, South Africa
Diane A. Isabelle: University of Johannesburg, 37 Bunting Road, Cottesloe, Johannesburg, 2092, South Africa†Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada

International Journal of Innovation Management (ijim), 2024, vol. 28, issue 09n10, 1-19

Abstract: In today’s rapidly evolving workplace, continuous technological advancements are reshaping organisational dynamics and employee interactions. This study examines the adoption of Artificial Intelligence (AI)-enabled technologies for transforming Human Resource Management (HRM) processes within organisations. We conducted a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, analysing 57 papers out of 238 sourced from the Scopus database. Our findings highlight AI’s significant research focus in recruitment and performance management, with additional applications in learning and development, and reward and recognition management. Drawing from the literature review and building on technology adoption models, we develop a framework to promote AI integration in HRM. We discuss how AI can improve core HR functions and outline critical success factors for its effective implementation.

Keywords: Artificial intelligence; digital technologies; HRM transformation; AI-enabled human resource management; technology adoption models (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S1363919624400061

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