درخت حوزه‌های تخصصی

Purpose: Considering the quantitative growth of university growth and technology centers in the country and the need for solutions to facilitate the success of these companies in global competition, this study identifies the indicators of innovation ecosystem of university growth and technology centers with the knowledge-based economy approach with data foundation approach. Methodology: This research was based on empirical philosophy and has been done with a deductive-inductive approach. From the perspective of the goal, it was a fundamental research that has been done with a mixed research method. The study population of this study includes entrepreneurship professors and managers who have work experience in knowledge-based companies. Sampling was done by non-probabilistic and purposeful sampling method. Data collection tools are interviews and questionnaires. In the analysis of the interviews, the data theory of the foundation (selective, open and pivotal) was used. Also, the identified indicators have been validated by fuzzy Delphi method. Finally, the final model of the research is presented. Research data analysis was performed in the qualitative phase with MAXQDA software and in the quantitative phase with Matlab software. Findings: To achieve the objectives of the research, by analyzing interviews with experts, a set of practical indicators of the innovation ecosystem were identified. In the open coding stage, 517 codes were identified, which with the observed observations, 9 main categories and 41 sub-categories were obtained. Conclusion: Based on the achievements of this study, issues such as organizational management, growth center rules and regulations, innovation ecosystem infrastructure, knowledge ecosystem, innovation ecosystem, ecosystem capital, economic ecosystem, innovation ecosystem challenges and key players are key elements in the success of these universities in knowledge-based economy was considered. These cases also interact with each other in 41 minor areas.

Purpose: Social capital plays an important role in the success of any organization, including the education organization. As a result, the purpose of this study was presenting a social capital management model in the general directorate of education in Kermanshah province with a grounded theory approach. Methodology: This research in terms of purpose was applied and in terms of implementation method was mixed (qualitative and quantitative). The research population in the qualitative part was experts and senior managers of education in Kermanshah province and in the quantitative part were the principals of primary schools in Kermanshah province. The sample size in the qualitative part was estimated according to the principle of theoretical saturation 11 people who were selected by purposive sampling method and in the quantitative part was estimated according to Krejcie and Morgan table 332 people who were selected by random cluster sampling method. The research instrument in the qualitative part was a semi-structured interview and in the quantitative part was a researcher-made questionnaire, whose psychometric indices was confirmed and for data analysis was used from the methods of coding in MAXQDA software and exploratory factor analysis in LISREL software. Findings: Findings showed that in the central category of social capital management in education, causal conditions including categories of organizational factors, social factors and individual factors, contextual conditions including categories of social bonds of employees, cultural and social commitments and sustainable social development, intervening conditions including categories of legal requirements and frameworks, civic participation networks, organizational policies and organizational culture, strategies including categories of knowledge management, organizational resilience, job turnover and organizational participation and outcomes including categories of organizational outcomes, individual outcomes and social outcomes. Other findings showed that the factor load of all sub-categories except sense of identity on causal conditions, all sub-categories except collective power on contextual conditions, all sub-categories except success and education on intervening conditions, all sub-categories on strategies and all sub-categories except human capital accumulation, social cohesion, organizational learning, organizational entrepreneurship and interpersonal trust on outcomes were confirmed. Conclusion: Regarded to the importance of identified categories and concepts for the social capital management in education, planning is essential to improve the categories through their concepts.