Sustainability | |
Evaluation of Student-Perceived Service Quality in Higher Education for Sustainable Development: A Fuzzy TODIM-ERA Method | |
Dan Zhao1  Tiantian Bao1  Yifan Liu1  Huiyun Sang2  Benwei Fu3  | |
[1] Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China;School of Transportation and Logistics Engineering, Shandong Jiao Tong University, Jinan 250357, China;State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; | |
关键词: MCDM; service quality evaluation; sustainability; higher education; intuitionistic fuzzy theory; evidence theory; | |
DOI : 10.3390/su14084761 | |
来源: DOAJ |
【 摘 要 】
Evaluating and prioritizing the service quality of higher education is an essential issue for the successful implementation of Education for Sustainable Development (ESD). This study investigates an evaluation framework to assess the performances of higher education institutes (HEIs) within the context of ESD based on student-perceived service quality. First, a conceptual model of the evaluation indicator system is explored by embedding sustainability-related indicators into the fuzzy SERVQUAL scale. Then, the evaluation of student-perceived service quality can be thought of as a problem of multicriteria decision-making (MCDM) that involves uncertainty and bounded rationality. Thus, an evaluation technique called hybrid fuzzy TODIM-ERA is proposed to address such evaluation problems by synthesizing the theoretical strengths of the intuitionistic fuzzy set theory, the evidential reasoning algorithm (ERA), and the TODIM (an acronym in Portuguese for interactive and multicriteria decision-making). Finally, a case study of five Chinese HEIs in maritime transportation is used to demonstrate the effectiveness and robustness of the proposed framework. Results provide the ranking order of all the alternative HEIs and the improvement strategies of each HEI for student-perceived service quality dimensions.
【 授权许可】
Unknown