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..
