عباس عباسپور

این پژوهش به منظور شناسایی و اولویت بندی نشانگرهای کلیدی عملکرد در مدارس ابتدایی به روش اکتشافی و با بهره گیری از روش های دلفی فازی و سوآرا انجام شده است. خبرگان(جامعه آماری پژوهش)، شامل اساتید مدیریت آموزشی و متخصصان تعلیم و تربیت در وزارت آموزش و پرورش هستند که از طریق روش نمونه گیری هدفمند تعداد 15 نفر تا رسیدن به اشباع نظری انتخاب شدند. ابزار گردآوری داده ها، مصاحبه ساختاریافته است. از مولفه ها و نشانگرهای استخراج شده از ادبیات پژوهش به عنوان پایه و اساس طراحی مصاحبه ساختاریافته استفاده شد. برای شناسائی و غربالگری نشانگرها، از روش دلفی فازی استفاده شد. یافته های پژوهش نشان داد که مدارس دوره ابتدایی دارای 102 نشانگر در 6 مولفه توسعه روابط انسانی، برنامه ریزی استراتژیک، رشد و یادگیری، آموزش و ارزشیابی، مدیریت و رهبری و محیط و جامعه هستند. در پایان با روش سوآرا وزن نهایی مولفه ها و نشانگرهای کلیدی موردنظر به دست آمد که مولفه های مدیریت و رهبری، رشد و یادگیری و محیط و جامعه با اهمیت ترین مولفه ها معرفی شدند. با توجه به نتایج پژوهش می توان اذعان نمود، مدارس و نهادهای بالادستی آن هنوز نیازمند اقدامات مؤثرتری در زمینه مدیریت عملکرد در مدارس ابتدایی هستند.

Purpose: The purpose of this study was to investigate the status of organizational structure in Farhangian University according to the integration approach. Methodology: The present study was a survey research approach in terms of applied purpose and in terms of data collection approach. The statistical population of this study included managers and staff of Farhangian University. According to the latest statistics and information available in the Vice Chancellor for Planning and Information Technology of Farhangian University in the academic year 2017-18, a total of 890 staff and managers of Farhangian University in Tehran (all campuses with Headquarters) were working. In order to determine the sample size, Morgan table was used. According to Morgan table, 270 samples had to be selected. Also, due to the presence of the researcher in Kermanshah, Kermanshah city campuses were used and a total of 328 people were selected. The instrument used in this study was Robbins (1989) Organizational Structure Questionnaire which examines three dimensions of complexity, formality and focus in the organization, the reliability of which was calculated using Cronbach’s alpha of 0.85. Data analysis was used at two descriptive levels (mean and standard deviation) and at the inferential level; one-sample t-test was used. Findings: The results showed that the organizational structure of Farhangian University was moderate in complexity, low in formality and high in concentration. In other words, the sub-component of complexity (3.04) is moderate, the sub-component of formality (2.44) is lower and the sub-component of concentration (3.10) is higher than the average. All these results are calculated according to t And were statistically significant at the level of 0.05. Conclusion: Organizations are known through their manpower and structure, so an organization that has a proper structure and decent manpower is ready for its effectiveness

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.