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: The purpose of this study was to determine the mediating role of self-differentiation in the relationship between personality traits and perfectionism in students. Methodology: The present study was descriptive in terms of purpose, and in terms of data collection, it was a descriptive correlational design and a path analysis method. The statistical population of the study was all students of Azad University of Science and Research Branch in the academic year 2018-19. The sample consisted of 300 students who were selected by cluster random sampling. Research instruments included Perfectionism Scale Frost (1993), Differentiation Scale Skowron and Friedlander (1998) and Five-Factor Personality Questionnaire Costa and McCreary (1985). Data analysis was done by path analysis and Sobel test at the significant level of 0.05. Findings: The results of data analysis showed that despite the indirect effect of agreeableness, openness to experience and conscientiousness on perfectionism was confirmed by differentiation. On the one hand, differentiation was influenced by personality traits on the one hand and had a significant effect on perfectionism on the other hand (P <0.005). Conclusion: Given that high perfectionism plays a significant part in the development and persistence of individual problems, it can be acknowledged that personality traits influence perfectionism by considering the mediating role of differentiation.