Artificial intelligence in agile human resource practices: systematic literature review and bibliometric analysis

Purpose-This study aims to review and synthesize existing research in the field. Additionally, this study identifies emerging themes and future research opportunities based on the discussions within these studies. This research also develops a model to integrate artificial intelligence with agile human resource (AHR) practices and strives to outline potential directions for future researchers. Design/methodology/approach-This study adopted a systematic literature review (SLR) and bibliometric analysis followed by content analysis through bibliographic coupling to analyze the identified literature. The SCOPUS database was used in this study, using a search string of keywords to identify the relevant research literature. The initial extraction resulted in 151 articles after adopting a series of inclusion-exclusion criteria, which led to the final attainment of 73 articles to be included for further analysis and discussion. Findings-This study through the extant literature identified five themes and foundations of artificial intelligence in AHR practices research and developed a model for future investigation by future researchers. Originality/value-To the best of the authors' knowledge, this study is one of a kind that explores artificial intelligence within AHR practices for improved employee and organizational well-being. Thus, developing a synthesized work provides a comprehensive picture of the research domain.