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An Integrated Fuzzy Delphi and Best Worst Method (BWM) for performance measurement in higher education

Hashemi Petrudi, S. H ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.dajour.2022.100121
  3. Publisher: Elsevier Inc , 2022
  4. Abstract:
  5. This paper proposes a novel multiple-criteria decision-making (MCDM) framework for performance measurement in higher education institutions (HEIs) using semi-structured interviews, expert panels, and questionnaires. The proposed method comprises the fuzzy Delphi method (FDM) and Best-Worst Method (BWM). Fuzzy set theory is used to address the vagueness and uncertainty of experts’ judgments, and the group decision-making process is handled by the Delphi method. The FDM filters out the criteria extracted from the literature, and BWM finds the relative weight of the criteria and indicators. A real-world case from a public university is employed to illustrate the applicability and effectiveness of the proposed framework using a seven-category framework. Findings show that “education” and “human capital” are the most important criteria. Further, “the number of patents and inventions,” “ratio of faculty/students,” and “students’ satisfaction with teaching quality” are the most critical performance indicators. © 2022 The Author(s)
  6. Keywords:
  7. Best Worst Method (BWM) ; Delphi method ; Fuzzy set ; Performance measurement ; Prescriptive analytics
  8. Source: Decision Analytics Journal ; Volume 4 , 2022 ; 27726622 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S2772662222000522