Research perspective of artificial intelligence and HRM: a bibliometric study

Neelam Kaushal and Suman Ghalawat

International Journal of Business Innovation and Research, 2023, vol. 31, issue 2, 168-196

Abstract: The present research aims to identify the impact of Artificial Intelligence (AI) technologies on human resources management functions and practices in various organisations. The paper adopted a bibliometrics methodology comprising a sample of 344 documents extracted from the Scopus database to observe extant research on this theme. The study designed a bibliometric analysis framework based on artificial intelligence and human resource management integration (AIHRMI). This arena's vital research concentration is primarily about AI embeddedness in various HRM functions such as recruitment, selection, talent management and retention. The study proposes an AIHRMI framework developed from the multiple studies undertaken for the discussion in current research. This model will provide guidance and future directions for the expansion of AI in HRM for various organisations.

Keywords: artificial intelligence; human resource management; HRM; recruitment; selection; talent management; bibliometric analysis. (search for similar items in EconPapers)
Date: 2023
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