درخت حوزه‌های تخصصی

Purpose: Entrepreneurship plays an effective role in creating and increasing employment, and the development of entrepreneurial talents is effective in this field. As a result, the aim of this study was to identifying and evaluating the effective educational factors on the development of entrepreneurial talents. Methodology: The method of this research was of mixed exploratory type (qualitative and quantitative). The population of the qualitative part of this research was the Iranian academic and electrical industry experts, which according to the principle of theoretical saturation, 20 people of them were selected by purposive sampling method and were subjected to semi-structured interviews. The population of the quantitative part of this research was the employees of specialized parent companies, which 218 people of whom were selected by multi-stage cluster random sampling method and answered the researcher-made questionnaire. The validity and reliability of the tools of both qualitative and quantitative parts were examined and confirmed and the data obtained from their implementation were analyzed by open, axial and selective coding methods in MAXQDA-V2020 software and exploratory factor analysis and one sample t-test in SPSS-V23 and LISREL-V8 software. Findings: The findings of this study in the qualitative part showed that the effective educational factors on the development of entrepreneurial talents had 66 indicators, 16 components and 2 categories; So that the category of effective educational factors has 8 components including the psychological characteristics of the teacher, social intelligence, organizational coordination, encouraging talents to entrepreneurship, leadership and management style, educational content, space and educational equipment and teaching methods and the category of development of entrepreneurial talents has 8 components including risk-taking, locus of control, need to success, mental health, pragmatism, ambiguity tolerance, dreaming and discovering and exploiting from opportunities. Also, the findings of this study in the quantitative part showed that the effective educational factors on the development of entrepreneurial talents had 66 items and 16 components in 2 dimensions of effective educational factors and development of entrepreneurial talents; So that all the items had a factor load of higher than 0.40, all components had a content validity ratio of higher than 0.70, all of them had an average extracted variance of higher than 0.50, and all of them had a Cronbach's alpha of higher than 0.70. In addition, the average of all components of effective educational factors and development of entrepreneurial talents except mental health significantly was higher than the hypothetical average (P<0.05). Conclusion: According to the results of this study for improvement and development of entrepreneurial talents can be establish the field for the realization of effective educational factors on it including the psychological characteristics of the teacher, social intelligence, organizational coordination, encouraging talents to entrepreneurship, leadership and management style, educational content, space and educational equipment and teaching methods.

Purpose: The current study was conducted with the aim of designing a human resource competency model in the age of digital transformation. Methodology: This study is applied-developmental in terms of purpose. Also, it is a developmental and exploratory sequential type, and the present study is qualitative in terms of data type. The statistical population of this study is made up of experts and specialists who are aware of the subject of the study and specialists in Mobile Communication company of Iran (IR-MCI) and 20 people were selected as a sample using the targeted sampling method. In this study, library and field methods were used to collect information. In this study, the method of text analysis as well as interviews and Delphi were used for data analysis. Findings: The results showed that the competency of digital managers includes 7 components of individual factors, organizational factors, culture of change, digital attitude, communication factors, leadership and management, and technical and specialized factors. Conclusion: Based on the results, there is a significant correlation between all components. The results also showed that the study model has the required validity.