درخت حوزه‌های تخصصی

Purpose: Entrepreneurship is considered as the driving force of economic and social growth of societies. Methodology: The present qualitative study is based on grounded theory, while recognizing the dimensions of the rural business space in Kurdistan Province, has identified the factors affecting rural entrepreneurship in this region. Also, in this study, in order to increase the efficiency of policies and plans of rural entrepreneurship development institutions, a conceptual model of extractive factors has been proposed. For this purpose, a group of fifteen rural entrepreneurs, local experts and officials and extra-local experts were selected and studied using non-probability sampling methods, such as theoretical, purposive and snowball sampling. The data were collected using three tools of interview, field observations and review of archival documents and analyzed using open, axial and selective coding. Findings: The study results classified the factors affecting the development of rural entrepreneurship in Kurdistan Province into the following categories: individual, social, cultural, infrastructure, natural and ecological, legal, educational, political and economic institutional factors. Conclusion: In addition, interactive mechanism is reflected according to the structural model of grounded theory with six theoretical components.

Purpose: Covid-19 pandemic increased the use of e-learning and the ensuing academic stress. This research aims to study the relationship between e-learning induced academic stress and academic self-efficacy in the Yazd branch of Payame Noor University in Iran. Methodology: This is a descriptive-correlational study. The study population was the Yazd branch of Payme Noore University students in the 2020-21 academic year. Cochran’s formula gave us a sample size of 319 people. Due to the Covid-19 pandemic and the unavailability of some of the sample members, we used voluntary sampling. Our research tools were the academic stress scale (Pooladi Reyshahri, 1995) and the academic self-efficacy scale (Owen and Froman, 1988). We sent the scale to the subjects electronically. The scales’ alpha Cronbach reliabilities were 0.90 and 0.84, respectively. We analyzed the data using the T-test, correlation, and regression in SPSS version 21. Findings: Our findings showed that e-learning induced academic stress, and its subscales (academic conditions and economic environment stresses) were significantly below average in the students. Students’ academic stress and academic self-efficacy were significantly and inversely related. Academic stress could significantly explain self-efficacy (P < .001). Conclusion: Our results showed the negative role of academic stress in explaining students’ academic self-efficacy. Reducing students' academic stressors through academic workshops can significantly increase academic self-efficacy.

Purpose: This research was conducted with the aim of identification and analysis of effective factors on the strategic intelligence of education districts managers of Tehran city and provides an appropriate model. Methodology: The present study in terms of purpose was applied and in terms of implementation method was descriptive from type of quantitative. The study population was managers, deputies and experts of the education nineteen districts of Tehran city in 2020 year, which based on the Krejcie and Morgan table the sample size was estimated 120 people who were selected by randomly sampling method. The research instrument was a researcher-made questionnaire of effective factors on the strategic intelligence of managers (113 indicators) which after two Delphi rounds with Kendall coefficient of 0.678 was designed by 15 experts and its content validity was confirmed by experts and its reliability was calculated by Cronbach's alpha method 0.921. Data were analyzed by exploratory factor analysis and structural equations modeling in SPSS-22 and Smart PLS-3 software. Findings: The findings showed that the effective factors on the strategic intelligence of managers had 113 indicators in 21 components and 2 dimensions; So that the intra-organizational dimension were included 11 components of intelligent planning, support processes, communication processes, power of change and transformation, knowledge management, educational intelligence, moral intelligence, informational intelligence, organizational process intelligence, human resource intelligence and financial resources intelligence and extra-organizational dimension were included 10 components of business intelligence, environmental intuition thinking, technological intelligence, planning intelligence, social intelligence, competitors intelligence, policy-making, communication with people intelligence, targeting intelligence and environmental macro intelligence. Also, the factor load of all dimensions and components was higher than 0.40, their average extracted variance was higher than 0.50 and their reliability was higher than 0.70. In addition, the model of effective factors on the strategic intelligence of education districts managers had a good fit and the model had a significant effect on the intra-organizational and extra-organizational dimensions and the mentioned dimensions on the relevant components (P<0.05). Conclusion: The results showed two dimensions of intra-organizational and extra-organizational for the model of effective factors on the strategic intelligence of education districts managers. Therefore, to increase and enhance their strategic intelligence can be done by improving the dimensions and components of each of them.