Artificial intelligence, knowledge and human resource management : a systematic literature review of theoretical tensions and strategic implications

This article studies the interaction between artificial intelligence (AI) and human resource management (HRM) through a bibliometric analysis of 203 articles published between 2002 and 2024 in the Web of Science database. The analysis identifies six fundamental strategic research themes, ranging from automation and predictive analysis to the personalisation of the employee experience. The paper illustrates the growing importance of AI and HRM, evidenced by an exponential increase in publications since 2016, with a significant peak after the COVID-19 pandemic. The conclusions highlight the need for a balanced approach that integrates technological innovation with rigorous ethical principles, particularly in critical areas such as algorithmic transparency, fairness in decision-making and personal data management. The research also provides a valuable roadmap for future research and sustainable organisational practices in the digital age, highlighting the importance of addressing emerging challenges such as technostress and the implications of personalisation in hybrid work environments. In addition to capturing the ways in which AI is transforming traditional HRM processes and the aspects covered by the literature so far, this paper also establishes a frame of reference for understanding and addressing the evolution of talent management in a rapidly changing technological context.