Investigating Knowledge Management Status among Faculty Members of Kerman University of Medical
Sciences based on the Nonaka Model in 2015
- Publication date
- Publisher
Abstract
systematic exploitation of available knowledge and information. Therefore, it is necessary to investigate the
knowledge management status in an education system by considering the function of faculty members in creation
and dissemination of knowledge. This study was conducted to investigate the knowledge management status
among faculty members of the Kerman University of Medical Sciences based on the Nonaka and Takeuchi
models in 2015.
Methods: This was a descriptive-analytical and cross-sectional study. It was conducted on 165 faculty members
at the Kerman University of Medical Sciences, who were selected from seven faculties as weighted using a
random stratified sampling method. The Nonaka and Takeuchi knowledge management questionnaire consists of
26 questions in four dimensions of socialization, externalization, internalization, and combination. Scoring of
questions was conducted using the five-point Likert scale. To analyze data, independent t-test, one-way ANOVA,
Pearson correlation coefficients, and the Kruskal-Wallis test were employed.
Results: The four dimensions in the Nonaka and Takeuchi model are based on optimal indicators (3.5),
dimensions of combination, and externalization with an average of 3.3 were found in higher ranks and
internalization and socialization had averages of 3.1 and 3. According to the findings of this study, the average
knowledge management among faculty members of the Kerman University of Medical Sciences was estimated to
be 3.1, with a bit difference compared to the average. According to the results of t-tests, there was no significant
relationship between gender and various dimensions of knowledge management (p>0.05). The findings of
Kruskal-Wallis showed that there is no significant relationship between variables of age, academic rank, and type
of faculty with regard to dimensions of knowledge management (p>0.05). In addition, according to the results of
Pearson tests, there is no significant relation between employment history and dimensions of knowledge
management (p>0.05).
Conclusion: Considering the function and importance of knowledge management in education and research
organizations including universities, it is recommended to pay comprehensive attention to establishment of
knowledge management and knowledge sharing in universities and provide the required background to from
research teams and communication networks inside and outside universities