Abstract:

Research on AI in HR management has focused mostly on whether organizations adopt AI, how they use it, or on specific HR applications. This paper takes a different angle. It looks at the intensity of AI integration in HR practices. We conceptualize this concept through five dimensions: functional scope, decision-making influence, employee-AI interaction intensity, algorithmic sophistication, and algorithmic autonomy. Drawing on a socio-technical perspective, we develop a conceptual model in which HR analytics mediates the relationship between AI integration intensity and employee satisfaction, while AI governance moderates the relationship. The paper contributes to the literature on AI in HR by distinguishing limited or narrow AI adoption from deeper forms of AI integration that reshape HR processes, interactions, and decisions.