Abstract

Artificial intelligence (AI) significantly impacts human resource management (HRM), reshaping the nature of work, workers, and workplaces. Although AI-assisted HRM is viewed as a valuable strategy for enhancing organizational productivity, research on AI technologies in HRM remains limited and fragmented, resulting in a lack of comprehensive understanding of their effects at both organizational and individual levels. To address these gaps, this study presents a systematic literature review (SLR) of 54 relevant articles published in Scopus and Web of Science indexed journals. The findings reveal that intelligent automation offers new methods for managing employees and boosting firm performance while also presenting challenges related to adoption and ethics. Key HRM strategies affected include recruitment, performance evaluation, training, employee engagement, and compensation. The study establishes a strategic framework for integrating research on AI applications in HRM, along with testable propositions for future research.