Abstract:

The purpose of the study is to empirically examine artificial intelligence (AI) and knowledge management systems (KMs) simultaneously observed concerning their corresponding influence on the automotive firm performance (AFP). This study used cross sectional questionnaire survey to 123 senior executives of American automotive firms. For empirical testing, we employed a partial least square structural equation modeling approach (PLS-SEM). Our findings revealed the nexus between the AI and KMs as well as their influence on the AFP.  Specifically, AI adoption positively influences the KMs as well as the positive effect of KMs on AFP. Furthermore, we found that KMs serve as mediators between AI and AFP.  This study emphasizes that the adoption of AI can significantly improves KMs in automotive firms. By leveraging AI to better management of KMs, these firms can foster their overall performance.