Gholamreza Nasiri; Parviz Saeedi; Samereh Shojaei
Abstract
Purpose: In today's world, in addition to educational and research missions, universities have found a new mission that is an increasing participation in the process of innovation and technology development, and if a university engages in entrepreneurial activities, it is known as a source of technology ...
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Purpose: In today's world, in addition to educational and research missions, universities have found a new mission that is an increasing participation in the process of innovation and technology development, and if a university engages in entrepreneurial activities, it is known as a source of technology development. In recent years, universities' contract research with industry has increased, and the tendency to patent and sell universities' technologies, creating new structures such as entrepreneurship centers in universities, growth centers, and university spawning companies all indicate the importance of knowledge commercialization from universities to industry. Academic seed companies are known as a part of seed companies that were formed with the aim of commercializing new technologies from the results of research and development in universities. Present research was conducted with the aim of interpretive structural modeling of effective components on growth of academic spin-off.Methodology: This study in terms of purpose was applied and in terms of implementation method was mixed (qualitative and quantitative). The research population in the qualitative section was documents and texts about academic spin-off and experts in this field, which 30 people of them according to the principle of theoretical saturation were selected by snowball sampling method. The research population in the quantitative section was managers and experts of academic spin-off, growth centers and science and technology parks in the north of the country in 2019 year with number of 400 people, which 196 people according to Krejcie and Morgan table were selected as a sample by simple random sampling method. The research instruments were included text review, semi-structured interview and 93 items researcher-made questionnaire whose psychometric indices were confirmed. Data were analyzed by methods of Delphi and interpretive structural modeling in PLS software.Findings: The findings showed that the effective components on growth of academic spin-off were included 93 sub-components in 10 main components including institutional structure, strategy, research system, financial resources, human resource supports, networking and communication skills, processes, individual factors, role of government support and customer orientation. The results of interpretive structural modeling showed that five components of institutional structure, strategy, financial resources, processes and role of government support were located in the first level, three components of research system, networking and communication skills and individual factors were located in the second level and two components of human resource support and customer orientation were located in the third level and based on the interpretive structural model of effective components on growth of academic spin-off was designed.Conclusion: According to the results of the present study, higher education planners and specialists can take advantage from the results of this study and planning for improve and growth of academic spin-off through the effective components identified in it.
Najib Zangi; Mahmood Reza Mostaghimi; Samere Shojai; Fereydon Azma
Abstract
Purpose: The purpose of this research is to develop an entrepreneurial attitude model in the public sector.Methodology: The current research has a fundamental purpose and a practical approach, and the research method is mixed, and to identify the indicators of entrepreneurial attitude, the content analysis ...
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Purpose: The purpose of this research is to develop an entrepreneurial attitude model in the public sector.Methodology: The current research has a fundamental purpose and a practical approach, and the research method is mixed, and to identify the indicators of entrepreneurial attitude, the content analysis model (qualitative) was used, and the relationships between the research variables and their value were obtained from the structural equation method. The statistical population of the qualitative section includes experts and university professors in the field of government entrepreneurship in Iran, and the sampling method in this research is a snowball sampling method, so that the data collection continued until reaching the saturation point, where the number There are 18 people and also the statistical population in the quantitative part includes managers of government entrepreneurship in Iran and the sampling method in this part is of simple random type, the number of sample size is 313 people according to Morgan's table. The method and tools of data collection in the qualitative part are semi-structured interviews and in the quantitative part are researcher-made questionnaires. The research model was measured and fitted using Lisrel software.Findings: The results showed that the research model for t-coefficients above ±1.96 to ±2.58 are significant at the 0.05 level and t-coefficients above ±2.58 are significant at the 0.01 level. The path coefficients and the explained variance of the research variables and the fit indices obtained for the tested model show that the RMSEA index in the estimated model has an acceptable level with a rate of 0.064 and other fit indices such as CFI, GFI, NFI, and AGFI are respectively equal to 0.97, 0.94, 0.95 and 0.92, they are all at a suitable level.Conclusion: Therefore, the characteristics of the goodness of fit show that the data of this research has a good fit with the factor structure of this model..
