Developing an open innovation model in science and technology parks using confirmatory factor analysis

Document Type : Original Article

Authors

1 PhD Student in Educational Management, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran

2 Assistant Professor, Department of Educational Management,Khorramabad Branch, Islamic Azad University,Khorramabad, Iran

Abstract

Open innovation is a phenomenon that has received a lot of attention in recent years. In this research, the exploratory mixed method has been used. The study population consisted of specialists and experts of science and technology parks in Tehran province, of which 516 people were randomly selected. First, semi-structured interviews were conducted with 15 experts and the interviews were analyzed using foundation data theory. The open innovation model with six factors (causal, pivotal, strategic, contextual, intervening, and consequences) was extracted as a result of exploratory factor analysis, the model fit was estimated to be 0.93 and its error was estimated to be 0.05. . Internal consistency between the above factors and questions and between 0.96 and / / 98. Was variable and also the total reliability of the test was estimated to be 0.98. Therefore, the data obtained from factor analysis show that the pattern of open innovation in science and technology parks has a good fit.

Keywords

Political Sociology of Iran
Volume 5, Issue 10
December 2022
Pages 2641-2652

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