Title: Systematic literature review of artificial intelligence in human resource management research using bibliometric analysis

Authors: Ankita Bansal; Raj Kumar Singh; Vikas Tyagi; Vivek Anand; Bhoopendra Bharti

Addresses: University School of Business, Chandigarh University, Mohali, India ' School of Management, Graphic Era Hill University, Dehradun, India ' School of Management, Graphic Era Hill University, Dehradun, Uttarakhand 248002, India ' TMIMT, Teerthanker Mahaveer University, Moradabad, India ' Department of Business Administration, Guru Nanak College, Jhajhra, Dehradun, Uttarakhand 248007, India

Abstract: The study undertakes a bibliometric examination focused on the field of human resource management (HRM) with a specific emphasis on Artificial Intelligence, spanning the period from 2012 to the present year, 2023. This investigation encompasses a comprehensive range of analytical approaches, including trend analysis, thematic analysis, performance assessment, cluster analysis, co-citation analysis, and co-occurrence analysis. Moreover, this research furnishes valuable perspectives on both domestic and international citations and bibliographic associations. Furthermore, it sheds light on the significance of artificial intelligence within the realm of human resources. Data has been retrieved from the Scopus database exclusively. An analysis was carried out using a dataset consisting of 659 documents, all of which were extracted from Scopus. To facilitate the performance analysis and thematic cluster examination for this research, the VOSviewer tool was employed. Furthermore, this study examined of the foremost quartet of clusters, along with their three most conspicuous publications.

Keywords: artificial intelligence; bibliometric analysis; co-occurrence analysis; bibliometric coupling; co-citation analysis; human resource management.

DOI: 10.1504/IJWI.2025.144323

International Journal of Work Innovation, 2025 Vol.6 No.1, pp.45 - 70

Received: 10 Sep 2023
Accepted: 25 Sep 2023
Published online: 07 Feb 2025 *

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