Document Type : Original Article
Authors
1 Assistant Professor, Department of Knowledge and Information Science, Payame Noor University, Iran.
2 Instructor of Department of Management, Payam Noor University, Iran
3 Assistant Professor,, Department of Educational Sciences, Islamic Azad University, Karaj Branch, Iran.
4 MA. Department of Knowledge and Information Science. Payame Noor University, Iran.
Abstract
Purpose. Identifying the model of factors affecting knowledge sharing in academic settings has always had a special importance and place among research in the field of knowledge management. The purpose of this study is to present a structural-interpretive model of factors affecting knowledge sharing in academic settings from the perspective of staff and faculty members of Payame Noor University.
Method. This research is a descriptive survey based on the applied purpose and in terms of the data collection method. The statistical population of the study includes the staff and faculty members of Payame Noor University. Using judgmental sampling, 19 experts in the field of knowledge management who had scientific, experimental, or research backgrounds were selected as members of the panel of experts. Data collection methods in this study are divided into two categories: library and field (questionnaire). In this research, the fuzzy Delphi technique has been used to screen the variables The structural-interpretive modeling technique has been used to identify and design the pattern of index relations.
Findings. Based on the results, the variables of self-efficacy, managerial support, reward system, university macro policies, software infrastructure, hardware infrastructure, personal interaction, trust, personal expectations, use of social media, knowledge sharing tendency, knowledge staff, and knowledge-based culture Introduced as effective factors on knowledge sharing in Payame Noor University. The results indicate that macro-university policies, managerial support, and knowledge-based culture are the most influential factors. Self-efficacy and knowledge staff variables are the most influential factors identified in this study.
Originality and value. So far, no similar research has examined the internal and external relations, determining the levels of influence and effectiveness of the effective factors in knowledge sharing in the university, and the present study is innovative in this regard.
Keywords: Knowledge management, Knowledge Sharing, Motivation to share knowledge, structural-interpretive modeling, Payame Noor University.
Keywords
- Knowledge management
- Knowledge Sharing
- Motivation to share knowledge
- structural-interpretive modeling
- Payame Noor University
Main Subjects
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