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A fuzzy service quality based approach for performance evaluation of educational units

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  • Nojavan, Majid
  • Heidari, Atefeh
  • Mohammaditabar, Davood

Abstract

Educational unites try to make efficient use of resources to achieve higher service qualities. This paper presents a new hybrid fuzzy approach based on service quality for performance evaluation of educational units. The proposed approach includes four stages: firstly, evaluation and gap analysis of students' expectations and perceptions in the service quality of educational units are performed based on fuzzy SERVQUAL questionnaires. In the second stage, the corresponding weights of dimensions and sub-dimensions of SERVQUAL are determined via fuzzy AHP method. In the third stage, the educational units are ranked using fuzzy TOPSIS method with respect to service quality sub-dimensions. Finally, a fuzzy DEA method is applied to determine the efficiency of educational units based on their service quality ratings. The approach is used for performance evaluation of eight higher education institutes in Iran. The proposed approach increased the accuracy of performance evaluation of educational units based on service quality.

Suggested Citation

  • Nojavan, Majid & Heidari, Atefeh & Mohammaditabar, Davood, 2021. "A fuzzy service quality based approach for performance evaluation of educational units," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:soceps:v:73:y:2021:i:c:s0038012119303362
    DOI: 10.1016/j.seps.2020.100816
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    1. Bao, Tiantian & Liu, Yifan & Yang, Zhongzhen & Wu, Shanhua & Yan, Zhenli, 2024. "Evaluating sustainable service quality in higher education from a multi-stakeholder perspective: An integrated fuzzy group decision-making method," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    2. Ertugrul Ayyildiz & Mirac Murat & Gul Imamoglu & Yildiz Kose, 2023. "A novel hybrid MCDM approach to evaluate universities based on student perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 55-86, January.
    3. María Carmen Carnero, 2021. "Developing a Fuzzy TOPSIS Model Combining MACBETH and Fuzzy Shannon Entropy to Select a Gamification App," Mathematics, MDPI, vol. 9(9), pages 1-34, May.
    4. Tsuen-Ho Hsu & Sen-Tien Her & Jia-Jeng Hou, 2021. "Developing Universally Applicable Service Quality Assessment Model Based on the Theory of Consumption Values, and Using Fuzzy Linguistic Preference Relations to Empirically Test Three Industries," Mathematics, MDPI, vol. 9(20), pages 1-32, October.
    5. Yifan Liu & Tiantian Bao & Dan Zhao & Huiyun Sang & Benwei Fu, 2022. "Evaluation of Student-Perceived Service Quality in Higher Education for Sustainable Development: A Fuzzy TODIM-ERA Method," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    6. Sahin, Aleyna & Imamoglu, Gul & Murat, Mirac & Ayyildiz, Ertugrul, 2024. "A holistic decision-making approach to assessing service quality in higher education institutions," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

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