Digital human resource management in the era of artificial intelligence: research performance and future research agenda

Purpose Nowadays, organizations are rapidly transitioning to digital human resource management (DHRM), which has attracted significant scholarly attention worldwide. However, limited research has provided a comprehensive overview of the field, particularly by identifying key themes that reflect its evolution, emerging research trends and future research directions linked to new technologies such as artificial intelligence. This study systematically reviews the literature on DHRM. Design/methodology/approach The data comprised 328 documents collected from the Scopus database covering publications from 2004 to 2025. Bibliometric methods and content analysis were employed to evaluate research performance and map the scientific landscape of the field. Findings This study highlights the evolutionary path, the key contributing countries and five thematic clusters. It also reveals three emerging trends: artificial intelligence, remote work and employee engagement. It also identified significant gaps and proposed six future research directions for the field of DHRM. Originality/value The study synthesizes knowledge from the past, present and future directions in a visual manner, incorporating the most up-to-date data and trends concerning the impact of artificial intelligence on human resource management.