The impact of knowledge management on the research capacity of university lecturers in Hanoi

Abstract

This study was conducted with the objective of evaluating the influence of knowledge management on the research capacity of university lecturers in Hanoi. First, the decision system analysis method was used for the decision-making process of the knowledge management model through three rounds of interviews with 15 experts from universities, research institutes, and scientific journals. Five factors, namely knowledge creation, knowledge collection, knowledge sharing, knowledge application, and knowledge management with big data, were then identified. A survey was conducted with 388 participants, and the collected data were analyzed through partial least squares structural equation modeling. Accordingly, the knowledge management model with five factors that affect the motivation of research and the research capacity of lecturers at universities in Hanoi was evaluated, and the significant values of the reliability and suitability of the model were accepted, showing that the proposed model is suitable. The test results showed that knowledge creation, knowledge collection, knowledge sharing, and knowledge management with big data had a significant relationship with the faculty's research capacity. The analysis revealed that knowledge creation, knowledge application, and knowledge management with big data had a significant impact on the motivation of lecturers for research. The results also showed the direct impact of research motivation on lecturers' research capacity. Furthermore, the indirect relationships between knowledge creation, knowledge sharing, knowledge collection, and knowledge management with big data and research capacity through research motivation is a noteworthy finding of this study.