While artificial intelligence (AI) is rapidly revolutionizing the various functions of human resource management (HRM), there is still a limited and scattered body of knowledge aiming to understand the extent of its impact in HRM practices. This chapter aims to map dynamics, contributors and domains in the context of the intersection of AI and HRM. Our bibliometric analysis of 157 articles extracted from the Scopus database identified an emerging global community focused in investigating this phenomenon. Results highlight an exponential growth in academic publications in the research topic during the past 5 years. Five clusters of most-discussed topics have been identified, revealing that AI has been embedded into many of HRM’s diverse functions and processes. However, a clear dominance of research focused on algorithm-based applications for recruitment and selection processes emerges. Anthropomorphic forms of task-automation seem to be on the cutting edge of AI applications in the context of HRM. In addition, applicants’ perceptions regarding automated job interviews are attracting growing interest from the research community
Is artificial intelligence disrupting human resource management? A bibliometric analysis
Za, Stefano
;Scornavacca, Eusebio
2024-01-01
Abstract
While artificial intelligence (AI) is rapidly revolutionizing the various functions of human resource management (HRM), there is still a limited and scattered body of knowledge aiming to understand the extent of its impact in HRM practices. This chapter aims to map dynamics, contributors and domains in the context of the intersection of AI and HRM. Our bibliometric analysis of 157 articles extracted from the Scopus database identified an emerging global community focused in investigating this phenomenon. Results highlight an exponential growth in academic publications in the research topic during the past 5 years. Five clusters of most-discussed topics have been identified, revealing that AI has been embedded into many of HRM’s diverse functions and processes. However, a clear dominance of research focused on algorithm-based applications for recruitment and selection processes emerges. Anthropomorphic forms of task-automation seem to be on the cutting edge of AI applications in the context of HRM. In addition, applicants’ perceptions regarding automated job interviews are attracting growing interest from the research communityI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
