AN EXAMINATION OF THE INFLUENCE OF LEADERSHIP ON THE EXECUTION OF KNOWLEDGE MANAGEMENT STRATEGIES INSIDE THE CHINESE ENTERPRISES

Abstract

The Greater China area's sectors display a wide range of approaches to knowledge management, information communication, and knowledge development. This research examines it in light of several new technologies, with Big Data at the forefront. The enabling environment has been shortened by scientists to "Big Data Context" (BDC). As China works to become an information-based economy and society, knowledge management is becoming more important. This study use quantitative methods to investigate the BDC's internal processes for knowledge generation and distribution. A quantitative method was used in this investigation. Researchers also conducted 24 semi-structured interviews with informants in addition to field notes. The second step was to conduct a thorough industry-scale survey and use structural equation modelling (SEM), a quantitative method, to assess the underlying structure of the model's dependability. The constructs as variables have a modest but comprehensive and, for the most part, favourable influence on knowledge development and sharing when applied to the BDC/KM environment. Using SEM with the constructs as variables, the researcher identify key stakeholders in information sharing and important mediators in knowledge development. Modern substantive theory predicts that a slew of innovative innovation shape China's Big Data environment. At its heart, Big Data has a profound effect on the dissemination and production of new information. Incorporating BDC into the knowledge management system is essential, according to the results.