Developing a Model for Enhancing Open Innovation in Universities Based on Inter-Sectoral Collaboration, Social Capital, and Knowledge Management
Keywords:
Open Innovation, Inter-Sectoral Collaboration, Social Capital, Knowledge Management, Universities, Structural Equation Modeling, Higher EducationAbstract
The purpose of this study was to develop and test a model for enhancing open innovation in universities based on inter-sectoral collaboration, social capital, and knowledge management and to examine the direct and indirect relationships among these variables. This study employed a descriptive-correlational design using structural equation modeling. The statistical population consisted of faculty members, educational managers, research administrators, and innovation and technology experts working in universities in Tehran. A total of 428 participants were selected through multistage cluster sampling. Data were collected using standardized questionnaires measuring open innovation, inter-sectoral collaboration, social capital, and knowledge management. Data analysis was conducted using SPSS version 26 and AMOS version 24. After calculating descriptive statistics and correlation coefficients, the conceptual model was tested through structural equation modeling, and model fit was evaluated using standard goodness-of-fit indices. The results indicated that all relationships among the study variables were positive and statistically significant. Inter-sectoral collaboration had significant direct effects on social capital (β=0.65, p<0.001), knowledge management (β=0.58, p<0.001), and open innovation (β=0.28, p<0.001). Social capital also exerted significant positive effects on knowledge management (β=0.46, p<0.001) and open innovation (β=0.31, p<0.001). Furthermore, knowledge management demonstrated the strongest direct effect on open innovation (β=0.52, p<0.001). Mediation analysis revealed that knowledge management played a significant mediating role in the relationship between inter-sectoral collaboration and open innovation as well as between social capital and open innovation. The model exhibited satisfactory fit indices (CFI=0.96, TLI=0.95, RMSEA=0.058), and the proposed variables explained 73.4% of the variance in open innovation. The findings suggest that enhancing open innovation in universities requires simultaneous attention to strengthening inter-sectoral collaboration, fostering social capital, and establishing effective knowledge management systems. Knowledge management emerged as the most influential predictor and a key mechanism linking organizational interactions to innovation outcomes. Therefore, universities seeking to enhance their innovation capacity and societal responsiveness should adopt an integrated approach centered on collaborative networks, social relationships, and systematic knowledge management practices.
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