Analysis of science authority and activism realization using the causal layered analysis framework in Iran

Concurrent with globalization, some changes have been created in the performance of the universities in developed countries that have turned them into a power source for economic development. In this study, generation changes of Iranian universities in the health sector were analyzed by the layer analysis (CLA) framework. The results showed that the status of universities in Iran is moving from the first and second university generations (i.e. education and research oriented) to the third generation (wealth creation). Too much concentration on indexes such as expert human resources training and number of papers and citations in the Iranian universities has led to stagnation in litany and structural layers. Obtaining scientific authority and technology development requires fundamental evolutions of sciences in deeper layers such as Islamic world view, governance of valuable contexts and evolution in the relationship among higher education and the research and technology system with other sectors

Measuring research inequality in medical sciences universities of Iran from 2008 to 2017: A descriptive study

Background and Objectives: Research plays an important role in solving health problems in the community. One main mission of higher education institutions is developing research tailored to the needs of the community by providing equal and fair opportunities for research sectors. The present study aimed to measure inequality in the rea of research in Iranian medical sciences universities. Methods: In this descriptive study, the Gini Coefficient (GC) was used to measure inequality from 2010 to 2016. The indexes included the number of published papers, citations, citation per paper, self-citation, Scimago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP), Citescore, Hirsch (h-index), number of faculty members, number of students, and educational and research budget. Stata 14 software was used for data analysis. Results: During the study years, the GC of SJR, SNIP, and Citescore varied from 0.65 to 0.73, 0.62 to 0.73, and 0.61 to 0.72, respectively. In addition, The GC of international papers, total articles, self-citation, citation per article, Hirsch index, and total citations varied from 0.62 to 0.70, 0.56 to 0.66, 0.22 to 0.27, 0.12 to 0.28, 0.33 to 0.39, and 0.57 to 0.72, respectively. The GC of the number of faculty members and budget ranged from 0.26-0.40 and 0.34-0.67, respectively. Conclusion: Inequality in self-citation and citation per article was relatively fair, while Hirsh and the number of faculty members had intermediate inequality. Other indicators had a high and very high inequality. To reduce inequality, developing of the balanced research infrastructures in medical universities is recommended

Measuring of educational inequality in medical sciences sector from 2010 to 2016: A descriptive study in Iranian provinces

Background and Objectives: Access to equal educational opportunities is one of the fundamental rights in each country, and elimination of inequalities, especially in the higher education system, is one of the most important priorities. This study aimed to measure educational inequality in the medical sciences sector in Iranian provinces. Methods: In this study, educational inequality in medical sciences was measured using the Gini coefficient. The study indexes included the number of students, faculty members, staff, majors and educational budget. Data were analyzed using Stata 14 software. Results: During the study years, the Gini coefficient of the number of female students, male students, and faculty members showed a more or less decreasing trend from 0.51 to 0.46, from 0.53 to 0.46, and from 0.59 to 0.53, respectively. However, the values of inequality in the number of personnel working in educational sector and educational budget showed a slight increasing trend from 0.49 to 0.50 and from 0.53 to 0.54, respectively. According to the academic majors, the lowest Gini coefficient was related to non-continuous bachelor’s degree that varied from 0.13 to 0.17, and the highest value was related to fellowship degree ranging from 0.66 to 0.69 in the study years.     Conclusion: Despite reduced inequality in some educational indicators, there is a high inequality in the number of academic majors of some postgraduate degrees, number of students by gender, and educational budget, which requires policy makers to focus more on balanced distribution of educational infrastructures among provinces to provide equal educational opportunities

Efficiency and productivity measurement in research sector of Iranian medical sciences universities using data envelopment analysis and malmquist index

Background and Objectives: Improving the efficiency and productivity of the higher education, especially in the field of research on health sciences, is one of the characteristics of sustainable development in todaychr('39')s societies. This study aimed to measure the efficiency and productivity of Iranchr('39')s Medical Sciences Universities (MSU) in the research function. Methods: In a descriptive study, the research function of fourty five MSUs in Iran was evaluated using data envelopment analysis (DEA) method and Malmquist index in 2010, 2013, and 2016 years. Measurement of both efficiency and Malmquist index was developed and modeled based on the assumption of variable returns to scale (VRS) and output-oriented. Also, the ranking of efficient units was done using Anderson-Pattersonchr('39')s model. Results: The mean research efficiency was estimated to be 0.86. Findings of Malmquist index showed that between 2010 and 2013, there was a 6% growth in the productivity; while the performance of universities had a 12% drop in research function from 2013 to 2016. Also, the average total productivity during two periods is 0.96, indicating 4% reduction in research efficiency which technology efficiency growth has dropped by 8% and other components of total productivity had a positive growth. Conclusion: The results of the study showed that universities do not work efficiently and average productivity has been decreasing which was mainly due to a decline in the efficiency of technology, which despite the development of technology in recent years could be the result of the lack of effective use of it