درخت حوزه‌های تخصصی

Purpose: The development of educational organizations plays an important role in creating a competitive advantage for organizations. Therefore, the aim of this study was to presenting the development model of educational organizations with emphasis on the entrepreneurship drivers in higher education. Methodology: This study in terms of purpose was applied and in terms of implementation method was descriptive from type of cross-sectional. The research population were included all faculty members of Golestan province universities, numbering 1023 people. The sample size was calculated based on Cochran's formula 279 people, which were selected by stratified random sampling method. The research tool was 80 question researcher-made questionnaire on the development of educational organizations with emphasis on entrepreneurial drivers, which whose content validity according to the opinion of experts was calculated as 0.74. Data were analyzed with exploratory factor analysis and structural equation modeling methods in SPSS-21 and Smart PLS-3 software. Findings: The findings showed that the development of educational organizations with emphasis on the entrepreneurial drivers had 80 items in 12 components and 5 dimensions. Dimensions were included entrepreneurial and knowledge-based education and research (with two components of entrepreneurial and knowledge-based research and entrepreneurial and knowledge-based education), structural-organizational (with four components of structure and organization, leadership management, human resources and financial resources and academic independence), technological development and growth (with one component of technological development and growth), policy making of science and technology and the governance system of the higher education system (with two components of development of entrepreneurial mission and perspective and policy making) and contextual factors (with three components of support factors, interaction and communication and cultural-social factors) which whose factor load of all was higher than 0.60, their average variance extracted was higher than 0.50 and their reliability with using Cronbach's alpha and combined methods was calculated higher than 0.70. Also, the development model of educational organizations with emphasis on the entrepreneurship drivers in higher education had a good fit. In addition, the development model of educational organizations with emphasis on the entrepreneurship drivers in higher education on each of the dimensions and each of the dimensions on its components had a direct and significant effect (P<0.001). Conclusion: The development model of educational organizations with emphasis on the entrepreneurship drivers in higher education designed in the present research can help the experts and planners of the higher education system in designing plans to improve educational organizations.

Purpose: The aim of the present study was to design and elaborate the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company. Methodology: This research is an applied study and, in terms of methodology, a mixed-methods (qualitative-quantitative) research. The statistical population of the study consisted of 15 experts from Islamic Azad Universities and managers of the Isfahan Steel Company. In the qualitative section, their opinions were used to identify and code the categories. For modeling purposes, the statistical population included a group of officials from the Isfahan Steel Company. Cochran's formula was used for sampling, resulting in a sample size of 384, and the sampling method was randomly accessible. To identify the factors, interviews were conducted initially, and with the help of open coding, selective coding, and axial coding, categories and concepts were extracted. Findings: The results of included 41 axial codes and 251 open codes. Subsequently, in the next stage, using confirmatory factor analysis, the axial, causal, contextual, intervening conditions, strategies, and outcomes were examined. Finally, consensus was reached on 209 open codes and 40 selective codes. For modeling, structural equations and partial least squares (PLS) with Smart PLS software were utilized. The results indicated that the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company is underpinned by 8 causal conditions, 8 contextual conditions, 6 intervening factors, and 7 strategies, leading to 11 major outcomes for Isfahan Steel Company. These outcomes include: improved neural process performance, personal growth and development, empowerment and psychological improvement, enhanced interactions and satisfaction, improved performance and cost reduction, psychology and personal relationships, interaction and communications, personal and psychological growth, individual and professional development, interactions and exercises, and the quality and effectiveness of neural solutions. Conclusion: In conclusion, the neuro-coaching model holds significant promise for transforming coaching practices and enhancing organizational outcomes. The integration of neuroscience principles provides a robust framework for developing more effective and scientifically grounded coaching interventions.