Mapping the Future: AI and HRM Insights from Bibliometric Data

Abstract

The study explores the intellectual framework of Artificialand Human Resource Management in business, management, and accounting, using the Scopus database. Bibliographic analysis, a rigorous and extensive method for examining scientific data, was employed in the study.

The structured process involved five steps: source selection, search criteria, research refinement, exporting a csv file, and analysing and discussing results. To find relationships, the analysis employed bibliometric mapping, and to understand their structure, performance evaluation was used.A sample of 257 papers from Scopus was analysed to identify relevant research trends. Using Bibliometrix software and the Biblioshiny tool, the research addressed four specific questions to assess documents retrieved from Scopus. According to the study, the three most prominent authors in AI-HRM are ‘Malik A’, ‘Budhwar P, Ren S, and Nawaz N’. In terms of relevant affiliations, Aston University top the list followed by Kingdom University and Neoma Business School. Human Resource Management Review, and the International Journal of Human Resource Management and Technology in Society  Journals are highlyresearched in the area of AI and HRM. The most contributing countries to this research field are the USA, China, and India. Human Resource Management and Machine Learningwere the most used Keywords by Authors. Industry 4.0, human resource analytics, and business intelligence are some of the emerging issues.  The findings indicate that AI applications in HRM represent a rapidly growing area of research, marked by consistent growth and promising prospects.