An Evaluation of the Efficiency Rankings of the Schools of Shiraz University of Medical Sciences Using an Integrated Approach of Data Envelopment Analysis and Goal Programming (original) (raw)
Related papers
Educational Measurement and Evaluation Studies, 2018
Regarding the importance of efficiency measurement in academic centers and universities, the present study attempted to evaluate the efficiency of twelve Schools of Yazd University through the Goal Programming Cross-Efficiency approach. The research population included twelve Schools of Yazd University. The required data were collected through conducting interviews and extracting data related to variables of all faculties. As such, the sample size and population size were hypothesis as equal. The results of the evaluation showed that the Faculty of Management was embedded with the highest efficiency and it was the most efficient faculty. Next, Faculties of Literature, Social Sciences and Mathematics ranked second to fourth in terms of efficiency.
The Efficiency Measurement of Indonesian Universities Based on a Fuzzy Data Envelopment Analysis
Open Journal of Statistics, 2016
The main objective of this study is to measure the relative efficiency of Indonesian universities in 2015. There are twenty five DMUs with four inputs and five outputs that are analyzed. Due to the low number of Indonesian scientific publications, this study analyses the performance of the top 25 universities based on the Webometrics ranking as it has been used as one of the indicators of university achievements by the Higher Education of Indonesia. The Data Envelopment Analysis (DEA) is used to obtain the scores of efficiency, while the Fuzzy approach is applied to address the possibility of errors from the auditor's assessment in determining the input and output variables correctly. The FDEA can be used in measuring the universities performances under imprecise inputs and outputs. Both the CRS (constant returns to scale) and the VRS (variable returns to scale) models are presented. The empirical results show that 36 percent of universities perform efficiently on the CRS model while 52 percent of universities have efficient performances under the VRS model. Furthermore, the well-known universities have shown relatively low scores, which indicate they need to improve their performances in publishing scientific work, as well as providing useful information to the public through the official websites. Generally, the results of the VRS model are better than the CRS model for both the DEA and the FDEA methods.
Caspian journal of health research, 2018
Background: Organizational efficiency should be continuously measured to plan for improvement, informing about organizational performance, and guiding the university toward its goals. In this study, the authors measured the efficiency of schools affiliated to Tehran University of Medical Sciences as one of the most important universities in Iran, in 2011 and 2012. Methods: In this research, the efficiency of schools was measured using data envelopment analysis (DEA) technique in three dimensions of education, research, and development. Several indices in each dimension were assumed as input. Data were collected from university documents and analyzed by output oriented approach using DEAP software version 2.1. Results: Findings revealed that the efficiency scores of four schools including public health, pharmacy, nursing and midwifery, and advanced technologies were 100 in both years. In 2011, the efficiency scores for other schools were as follows:
Journal of Medical Education and Development, 2019
Introduction: In every country, educational systems are regarded as the axes of development. Therefore, evaluating different academic departments as the main parts of educational systems is one of the most important responsibilities for university managers and authorities This study aimed at evaluating educational performance of all departments at the School of Health, a University of Medical Sciences using Data Envelopment Analysis technique in a time period of 2012-2015. Methods: This descriptive, cross-sectional study evaluated the performance of the School of Health departments from 2012 to 2015 using Data Envelopment Analysis technique and Deap version 2.1. Results: The study findings revealed that 57% of the academic departments were efficient and had constant returns to scale (CRS) while others (43%) had decreasing returns to scale (DRS). The Departments of Health Care Management, Nutrition, and Environmental Health were mentioned as reference groups for those inefficient one...
Evaluating the Efficiency of Faculties in Qassim University Using Data Envelopment Analysis
Journal of Business Administration and Education, 2013
This paper investigates the efficiency of eighteen faculties in Qassim University (FQU). The aim of the paper is to estimate and analyze the efficiency in (FQU) for the academic year 2011-2012. Using the number of students enrolled, the number of teachers and staff as inputs, and the total number of students with a bachelor's degree and a number of research as outputs, We use The output oriented model with variable return to scale to estimate efficiency score. The result showed that (10) FQU or 55.5% are effici ent with average 0.88 in term of variable return to scale efficiency. FQU obtained average scale efficiency 0.68 and only three FQU get the optimum size.
Performance Evaluation for Higher Educational Institutions within Data Envelopment Analysis
Nowadays, governments are increasingly investing more money in universities and especially in the higher education in order to improve their quality. At the same time universities are facing a dramatic growth on the number of students especially the graduate students. Hence, measuring the performance of such universities in order to evaluate how they react with such number increase is vital. Hence, this paper will evaluate the performance of Jordanian higher educational institutions and then highlights weakness points in reasons that caused inefficient universities (if found). In order to achieve this, the Data Envelopment Analysis (DEA) is used to measure the performance of the institutions so that inefficient ones (if found) are labeled. Recommendations will then be drawn to guide the inefficient institutions to improve their performance. In this paper, we will measure the performance of Jordanian universities as a special case.
Medical Journal of the Islamic Republic of Iran, 2020
Background: Increasing the number of students in universities, simultaneously limiting allocation of funds to them, and maintaining the highest efficiency level in education and research are of paramount importance. There are several methods to assess the efficiency of universities, and one of the most widely used of which is data envelopment analysis (DEA). The aim of this study was to determine the input and output criteria to evaluate the efficiency of universities of medical sciences through review-related articles using the DEA method. Methods: The time limit for retrieving articles was considered from the beginning of the publication of the first paper in this field until the end of 2017. The data were retrieved from Web of Science, Scopus, Ovid, ProQuest, Science Direct, and PubMed using advanced searches. Inclusion criteria were as follow: relevancy of the articles to the purpose of the research, availability of the articles’ full-text, articles published to the end of 2017,...
Konuralp Journal of Mathematics (KJM), 2019
In this study, it was tried to determine how effective and efficient they work with input (number of academic staff, number of administrative staff, number of students,) and output (total expence, number of graduates, academic grade point average) values used by Selcuk University affiliated faculties and four year college. It is important to inform senior management about the current situation and to create insight in decisions to be taken under variable factors for the future. In this study, Selcuk University 2018 Administration Annual Report and 2018 Academic Incentive Score data were used. In this study, data envelopment analysis (DEA), which is a parameterless technique which uses linear programming principles, is used to perform relative efficiency analysis in order to enable comparison with each other. As a result of the study, relative efficiency analysis of the units were performed and evaluations were made regarding the ways in which the input and output values were not effective and the ways to be effective. If it is effective, in order to maintain the current level of activity, if the idle (unutilized capacity) capacity arose, the assessments regarding the idle capacity were made.
Decision Science Letters, 2017
Nowadays efficiency measurement is considered as one of the most important methods for performance assessment of the organizations. Assessment of academic education and research system is a vital factor for education and research promotion and also is a panoramic mirror for education and research activities. The aim of this research is to assess the efficiency measurement of Shiraz university colleges over the period 2009-2014. Data Envelopment Analysis (DEA) as one of the most important methods of efficiency measurement has two limitations: First, it calculates cross-sectional efficiency values and second, it may consider many units as an efficient unit. Window Data Envelopment Analysis (WDEA) is used for eliminating the first limitation and similarly double frontier analysis is used to overcome the second limitation. The results show that proposed WDEA method with double frontier in comparison with traditional analysis, provides more accurate results.
International journal of academic research in business & social sciences, 2013
Introduction: An efficient university should have a real goal and could produce the most output with the least use of inputs. Evaluation systems are an inseparable part of each organization and university. By efficiency calculation, useful information will be created about strengths, weaknesses, opportunities, threats, and opportunities for improvement. Data envelopment analysis is a useful technique for evaluation of efficiency. This technique needs all the inputs and outputs to be measured precisely. Methods and material: The present study is a descriptive, analytical, cross-sectional, and retrospective research which measures the research efficiency of educational departments of Shiraz faculty of medicine by using DEA technique from 2006 to 2011. Extracted data were analyzed by Microsoft excel and DEA master software. Finding: Department of pediatric and psychiatrics were efficient from 2006 to 2011. Other departments have some inefficiency. Neurosurgery department has least average of efficiency. The average of technical efficiency for all departments was 73.873. Conclusion: where the difference between efficiency score of the department and 100 is more, the department's needs to improve its outputs will be more. Those groups which are more inefficient waste the resources more. This method also could help the faculty of medicine to identify their weakness and try for improvement