Application of clustering technique in analyzing the situation of knowledge management in golestan university

The aim of the current research was to apply the clustering technique in order to analyze the state of knowledge management in Golestan University, so this research is applied, in terms of descriptive-survey purpose. In this research, the researchers have taken a holistic and systemic view of the knowledge management category and did not consider the implementation of knowledge management in the university to be dependent on the availability or need of a specific group. The members of the statistical sample were 281 administrators, faculty members, and scientific assistants of Golestan University, who were selected through stratified sampling and they were measured through Newman and Conrad's general management questionnaire, whose reliability and validity were confirmed using Cronbach's alpha and confirmatory factor analysis, respectively. In the first step, according to the four dimensions of the knowledge management cycle, the current state of knowledge management in Golestan University was analyzed at three levels of managers, faculty members and scientific assistants using non-hierarchical cluster analysis and Rapidminer software, and the number of optimal clusters according to the index Davis-Bouldin was obtained. In the second step, the members of the statistical sample placed in each cluster were analyzed based on their demographic characteristics. The results showed that in both clusters, the status of the four dimensions of knowledge management at the confidence level of 0.95 was lower than the number 3, and the analysis of the demographic characteristics of the clusters with the chi-square test at the confidence level of 0.95 showed that the results obtained with mental templates Preformed has a significant difference. The research results emphasize the implementation of knowledge management in Golestan University.