AN ANALYSIS OF THE IMPACT OF LEADERSHIP ON THE IMPLEMENTATION OF METHODS FOR KNOWLEDGE MANAGEMENT INSIDE THE CHINESE ENTERPRISES

Abstract

When it comes to knowledge management, information communication, and knowledge growth, the industries in the Greater China region show a lot of variety. This study takes a look at it through the lens of many emerging technologies, the most prominent of which being Big Data. Scientists now refer to this setting as the "Big Data Context" (BDC). Knowledge management (KM) is gaining prominence in China as the country strives to transform into an information-based society and economy. This research delves at the BDC's internal knowledge development and distribution procedures using quantitative approaches. This inquiry made use of a quantitative approach. Researchers supplemented field notes with 24 informant interviews that were semi-structured. The second phase included a comprehensive study of the industry at large and an evaluation of the model's foundational reliability using structural equation modelling (SEM), a quantitative approach. Applying the notions as variables to the BDC/KM environment has a small but complete and, for the most part, positive affect on knowledge generation and sharing. In order to identify crucial players in information exchange and mediators in knowledge growth, the researcher used SEM using the constructs as variables. A plethora of ground-breaking innovations mild China's Big Data landscape, according to modern substantive theory. Big Data essentially affects the creation and distribution of new information in a significant way. The findings show that BDC must be part of the knowledge management system.