Huong Thi Dinh, Nhung Hong Nguyen, Anh Ngoc Nguyen
Purpose AI improves the operational efficiency of hotels while fostering green human resource management. The study explores the effects of AI and green human resource management on low-carbon behavior, employee performance, and overall sustainability performance. Design/methodology/approach Employing the PLS-SEM model to enhance comprehension of how AI and green human resource management influence low carbon behavior, employee performance, and sustainability performance. An anonymous survey comprising 46 questions was carried out with 1,256 managers from different hotels in Vietnam. Findings The results demonstrate that AI has a beneficial impact on both employee performance and sustainability performance, with green human resource management and low-carbon behavior serving as mediators in the connection between AI and sustainability performance. Furthermore, AI also plays a positive role in enhancing sustainability performance, where green human resource management and employee performance act as mediators in this relationship. Practical implications AI fosters GHRM, thereby increasing employee commitment to environmental issues and enhancing sustainable performance in hotels across Vietnam through the use of advanced data management systems. Additionally, the research emphasizes the importance of incorporating AI into employee operations to effectively encourage environmental conservation and sustainable growth within the hospitality industry. Originality/value This research emphasizes the considerable influence of AI as a catalyst for both green human resource management and sustainability performance. A principal conclusion of the research is that the advantages linked to sustainability performance and employee performance, which stem from AI, are mainly realized through green human resource management practices and low-carbon behaviors.