Enhancing Sustainable Innovation in AI Companies: The Role of Perceived Organizational Support, Job Satisfaction, and Job Embeddedness

Fangzhou Wang^*

• School of Public Administration, Huazhong Agricultural University, Wuhan, China

With the rapid development of the AI industry, the demand for employee innovation performance in enterprises has been increasing. Enhancing employees' innovation capabilities through effective organizational management has become an important research topic. This study aims to explore the mechanisms through which perceived organizational support impacts employee innovation performance, focusing on the mediating roles of job satisfaction and job embeddedness, as well as the moderating role of company size. Based on social exchange theory and self-determination theory, the study constructs a theoretical model and conducts empirical analysis. The results show that organizational support can indirectly affect employee innovation performance by enhancing job satisfaction and job embeddedness. Furthermore, company size plays a significant moderating role in the relationship between organizational support and job satisfaction, indicating that differences in company size should be reflected in management practices. This research not only provides theoretical support for the relationship between organizational support and innovation performance but also offers practical guidance for AI companies in human resource management and enhancing employee innovation capabilities.