AN INVESTIGATION ON THE ROLE OF LEADERSHIP IN THE IMPLEMENTATION OF KNOWLEDGE MANAGEMENT TECHNIQUES IN THE CHINESE ROYAL FAMILY

Abstract

Knowledge management, information exchange, and knowledge generation vary among sectors in the Greater China region. This study looks at it against the backdrop of many emerging technologies, led by Big Data. Scientists have devised the abbreviation “Big Data Context” (BDC) to shorten the enabling environment. Knowledge management (KM) is gaining significance in China as the country strives to transform into a knowledge-based economy and society. Examining the growth and dissemination of organisational knowledge inside the BDC, this research uses quantitative approaches. In this study, a quantitative approach was used. In addition to taking notes in the field, the researchers interviewed 24 informants using a semi-structured interview format. Secondly, the reliability of the model’s main structure was evaluated using a quantitative approach known as structural equation modelling (SEM) in conjunction with a comprehensive industry-scale survey. When applied to the BDC/KM setting, the constructs as variables impact knowledge generation and sharing in a subtle but thorough and, for the most part, positive way. Applying structural equation modelling (SEM) to the constructs as variables, we find that core mediators for knowledge generation and peripheral contributors to knowledge sharing are the main factors. Based on the current substantive theory, a number of new technologies are influencing the Big Data landscape in the China region. With Big Data at its core, it has a significant impact on the creation and distribution of new knowledge. Based on the findings, BDC should not be overlooked as a part of the system for managing knowledge.