Examining the impact of knowledge management on the performance of private universities in Jiangxi, China: The critical role of artificial intelligence

Abstract

The study examined the role of knowledge management practices by taking artificial intelligence as a moderating variable and their impact on the performance of private universities in Jiangxi, China. There is minimal research on knowledge management in private universities in China. This study aims to close this gap. The study used a quantitative methodology and a cross-sectional survey design of 110 faculty members  as a sample size. The survey was conducted in three private universities in Jiangxi China. A structured questionnaire using a 5-point Likert scale was used to collect the data. Descriptive statistics, moderating, and multiple regression tests are conducted using SPSS. The findings suggest that knowledge acquisition (B=0.236 and  p<0.001), creation (B=0.469 and  p<0.001), and sharing (B=0.381, and p=0.001) positively impact performance in private universities. However, knowledge integration (B=-0.257 and p=0.042) does not have a direct relation with performance. Furthermore, artificial intelligence was found to be a significant factor that enhances the performance of universities by effective management of various knowledge management practices. This study also informs government, academic institutions and policymakers to form guidelines and frameworks for integrating AI education to enable easy acceptance of the tools to gain academic excellence.