Human-AI Complementarity in Human Resource Management

Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more.