Abstract
Introduction: In today’s world, knowledge sharing among employees is considered one of the vital factors in enhancing productivity and creating a competitive advantage for organizations. This issue becomes even more significant in academic libraries, where informational and specialized resources are directly linked to service quality and students’ learning. The present study aims to identify, categorize, and prioritize the individual factors influencing knowledge sharing in these environments and to propose an appropriate analytical model for them.
Methodology: This applied research was conducted using a mixed-methods (qualitative–quantitative) approach. In the first phase, a systematic literature review based on the PSALSAR framework was employed to extract individual indicators affecting knowledge sharing through content analysis of scholarly sources. Based on these findings, a researcher-made questionnaire was designed to assess the importance of the indicators. Its content and face validity were confirmed by experts in Library and Information Science, and its reliability was calculated using Cronbach’s alpha (0.87). The collected data were analyzed using the Analytic Hierarchy Process (AHP) with Expert Choice software. Subsequently, Interpretive Structural Modeling (ISM) was used to develop and validate the conceptual model. The statistical population consisted of managers, staff, and heads of libraries at the University of Tehran, from whom 112 participants were randomly selected as the sample.
Findings: Data analysis led to the identification of 67 codes categorized into 11 individual indicators, including knowledge and experience, emotions and feelings, values, beliefs and attitudes, cognitive and learning styles, internal motivations and tendencies, social relations and interactions, individual abilities and competencies, organizational perception, situational characteristics, and personality and psychological traits.
Conclusion: The results showed that beli