Abstract
<jats:p>This study examines the impact of AI-powered knowledge management on employee innovative behavior in the hospitality industry. Drawing on a sample of 140 employees and managers from hospitality organizations, the study investigates five key dimensions: AI-driven knowledge acquisition, AI-enabled knowledge sharing, AI-based knowledge personalization, AI-supported decision intelligence, and AI-enhanced knowledge storage and retrieval. Data were collected through a structured questionnaire and analyzed using multiple linear regression. The findings reveal that knowledge acquisition, knowledge sharing, decision intelligence, and knowledge storage and retrieval have significant positive effects on employee innovative behavior, while knowledge personalization shows no significant influence. The model explains 69.8% of variance in innovative behavior, highlighting the importance of AI-enabled knowledge processes. The study contributes to the emerging literature by providing empirical evidence from a service context and offers practical insights for leveraging AI to foster innovation.</jats:p>