Analyzing the Impact of Forecasts on the Implications of Open Innovation (Case Study: Higher Education Institutions)
Subject Areas :Homayoun Ghaedi 1 , Arash Shahin 2 , Amirreza Naghsh 3 , Akbar Etebarian Khorasgani 4
1 - Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
2 - Department of Management, Facuilty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran
3 - Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
4 - Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
Keywords: open innovation consequences, influence of open innovation, Structural Equation Modeling (SEM), Open Innovation,
Abstract :
The purpose of this study is to analyze the influence of open innovation antecedents on its consequences in higher education institutions. The identified consequences and antecedents in higher education institutions have been studied and the influence of open innovation antecedents on its consequences has been analyzed using Structural Equation Modeling (SEM) and factor analysis. For this purpose, the selected universities of Isfahan province have been considered as the case study. The statistical population of this research was 1,490 people. 306 people were also determined as sample, from which, 306 questionnaires were ultimately collected. The content validity of the questionnaire was investigated through the opinions of seven experts. In addition to content validity, structural validity method and factor analysis technique were also used to assess the validity of the research tool. Considering that the significance value of ‘T’ in the relationship between open innovation antecedents and open innovation consequences was obtained higher than 1.96, it was concluded that the effect coefficient of 0.791 was significant at 95% confidence level, and the effect of independent variable on dependent variable in the main research model was confirmed. This finding indicated the effect of the independent variable on the dependent variable of the open innovation consequences as well as the very good fitness of the model with the data. The strengths and weaknesses, situation and position of each university were investigated and the gaps between internal skills and resources needed to establish joint development relations were identified. Appropriate and clear communication between the university and industry was established and the needs of employees and students were assessed to achieve success in universities. As a result of this need assessment, the participation of employees and students was used and the, the needs were met.
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