Identification and Prioritization of Structures for Improving the Quality of Educational Services of Public Universities Using Integrated Fuzzy Vikor and Interpretive Structural Modeling (ISM) Approach: (Case Study: Lorestan University)

Document Type : Original Article

Authors

1 Prof., Faculty of Management, Faculty of Economics and Administrative Sciences Lorestan University

2 Ph.D. Candidate in Public Management, Faculty of Human Resource Management University of Lorestan

10.22034/emes.2020.241881

Abstract

One of the most important criteria for the superiority of universities in the evaluation and ranking systems is the quality of the education provided by them. The purpose of this study was to identify the structures for improving the quality of the educational services, and to examine the priority of each of the criteria on the quality of the educational services of Lorestan University. The present research is applied in terms of purpose and survey in terms of research method. The statistical population of this study was 321 members of the faculty of Lorestan University, of which 175 were randomly selected as a sample using the Cochran's formula. In order to collect data, two questionnaires were used to rank and level the structures affecting the quality of the educational services. In the present study, according to the studies and research literature, 30 factors affecting the improvement of the quality of the educational services were identified. Factors affecting the quality of educational services were ranked using Fuzzy Vikor technique, and then the most important factors were classified using interpretive structural modeling (ISM). The results showed that the structures of "student status (location, time, individual talent), funding of training courses and the use of experienced instructors" are the main factors affecting the improvement of the quality of the educational services that should be emphasized in the first place.

Keywords

References

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Educational Measurement and Evaluation Studies
Volume 10, Issue 31
November 2020
Pages 97-124

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