Work

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

Year: 2022

Type: article

Abstract: 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.

Source: Decision Analytics Journal

DOI: 10.1016/j.dajour.2022.100121

Authors: Seyed Hamid Hashemi Petrudi, Hamidreza Ghomi, Mohsen Mazaheriasad

Institutions: University of Mazandaran, Sharif University of Technology, Islamic Azad University, Tehran, Islamic Azad University South Tehran Branch

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,500