Factors influencing artificial intelligence adoption in human resource management: a meta-synthesis and systematic review of multidimensional considerations

Purpose This research aims to identify and prioritize factors influencing the adoption of artificial intelligence (AI) in human resource management, providing a comprehensive understanding to assist organizations in successful implementation. Design/methodology/approach This applied research uses a qualitative meta-synthesis approach, systematically analyzing studies published between 2015 and 2023 to synthesize findings from both qualitative and quantitative studies. Findings AI adoption in human resource management is influenced by five main themes: (1) organizational and strategic factors, (2) technological and operational factors, (3) human-centric factors, (4) challenges and opportunities and (5) environmental and economic factors. These encompass aspects such as organizational strategies, technical infrastructure, improved decision-making, ethical issues and social impacts. Originality/value This study reveals AI adoption in human resource management as a complex, multidimensional process. Organizations must prepare technically, organizationally and in terms of human resources. The findings highlight the importance of ethical and legal considerations as well as psychological and attitudinal factors. These insights can guide organizations in adopting a comprehensive approach to AI integration in human resource management.