Artificial Intelligence and Human Resource Management: A Bibliometric Analysis

Abstract

In recent times, the fusion of artificial intelligence (AI) within the human resource function of organizations has been witnessing a notable surge. The rapid advancements in AI technology are bringing about a transformative impact on information processing across diverse domains within human resource management (HRM). This paper seeks to carry out a bibliometric study on the scientific research of AI and HRM, presenting key aspects of academic research in this field. A bibliometric analysis methodology was employed, retrieving a total of 144 articles published between 2018 and 2022 from SCOPUS. These articles were analyzed using VOS viewer and Publish or Perish software. Using thorough bibliometric techniques, this study provides insights into various aspects. The accessibility of articles within SCOPUS affects the database's limitations, which in turn can impact various bibliometric aspects. Despite these limitations, the utilization of software tools allows for a detailed perspective and insight into the analyzed publications, enabling a detailed exploration of bibliometric aspects.