This research has been organized with the aim of designing an entrepreneurial educational model in the automotive industry, which is a mixed research (quantitative and qualitative) in terms of purpose, application and in terms of how to collect information. The statisti
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This research has been organized with the aim of designing an entrepreneurial educational model in the automotive industry, which is a mixed research (quantitative and qualitative) in terms of purpose, application and in terms of how to collect information. The statistical population in the qualitative section includes academic and organizational experts including industrial experts such as education supervisors training liaisons, training instructors, thematic experts in the company such as welding experts and in the quantitative part includes all Iran Khodro Diesel automotive training staff . The sample size in the qualitative part with theoretical saturation (20 people) was estimated using purposive sampling and in the quantitative part based on Cochran's formula 127 people was estimated by stratified random sampling.was confirmed by calculating the trough and the validity of the questionnaire was confirmed by calculating the square root of the AVE. The reliability of the questionnaire was obtained through Cronbach's alpha for the whole questionnaire of 0.968. Lisrel and smartpls3 software were used to analyze the data. The results identified 23 components and 133 indicators that learners 'personal characteristics (0.173), teachers' personal characteristics (0.171), educational content (0.169), industry-university interaction (0.167), teaching methods (0.157), support Senior manager (0.156), leadership and management style (0.143), space and educational equipment (0.124) according to their factor load, respectively, components have an impact on entrepreneurial education. Outcomes include commitment (0.745), satisfaction (0.670), employee self-efficacy (0.655), innovation (0.647), employee empowerment (0636), performance (0.603), and organizational agility (0.568), respectively. The proposed model had a good degree of fit
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