AI in HR: A Systematic Literature Review and Future Research Agenda
Abstract
The integration of Artificial Intelligence (AI) into the domain of Human Resources (HR) is transforming how organizations recruit, develop, and manage their workforces. This systematic literature review synthesizes research from over 58 peer-reviewed articles and practitioner reports to explore the evolution of AI in HR, focusing on key areas, such as recruitment, employee engagement, predictive analytics, personalization, ethical concerns, and future directions. Using the Dynamic Capabilities View (DCV) as a theoretical lens, this review identifies the core managerial competencies required for effective AI adoption and highlights emerging trends and challenges. This study contributes to a comprehensive framework that aligns cognitive, human, and social capital dimensions with successful AI implementation in HR. The study concludes by proposing a future research agenda that addresses ethical concerns, data privacy, organizational readiness, and the need for interdisciplinary collaboration.