An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management
University performance has an important effect on the social influence of universities. With increasing emphasis placed on higher education, it is important to improve and optimize university performance management. However, the performance of university management is affected by numerous indicators...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/8/10/1729 |
| _version_ | 1797551525927583744 |
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| author | Qi-Zhen Zhang Shan Jiang Ran Liu Hu-Chen Liu |
| author_facet | Qi-Zhen Zhang Shan Jiang Ran Liu Hu-Chen Liu |
| author_sort | Qi-Zhen Zhang |
| collection | DOAJ |
| description | University performance has an important effect on the social influence of universities. With increasing emphasis placed on higher education, it is important to improve and optimize university performance management. However, the performance of university management is affected by numerous indicators in practice, and it is difficult for administrators to optimize all of them because of resource restriction. To address this concern, in this paper, we design a novel integrated model by combining linguistic hesitant fuzzy sets (LHFSs) with the decision-making trial and evaluation laboratory (DEMATEL) method to identify key performance indicators (KPIs) for improving the level of university performance management. Specifically, the LHFSs are utilized to express the hesitant and vague interrelationship assessment of performance indicators provided by experts. A modified DEMATEL is adopted to visualize the causal relationship between performance indicators and determine critical ones. Moreover, we introduce a gray relation analysis (GRA)-based method to derive experts’ weights when their weight information is unknown. Finally, a comprehensive university in Shanghai, China, is employed as an example to illustrate the practicability and availability of the proposed linguistic hesitant fuzzy DEMATEL model. |
| first_indexed | 2024-03-10T15:46:18Z |
| format | Article |
| id | doaj.art-f72fce3a4e2d466e88f5fe95fcf23d63 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T15:46:18Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-f72fce3a4e2d466e88f5fe95fcf23d632023-11-20T16:26:47ZengMDPI AGMathematics2227-73902020-10-01810172910.3390/math8101729An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance ManagementQi-Zhen Zhang0Shan Jiang1Ran Liu2Hu-Chen Liu3School of Law and Economics, The University of Queensland, Brisbane QLD 4072, AustraliaSchool of Management, Shanghai University, Shanghai 200444, ChinaSchool of Management, Shanghai University, Shanghai 200444, ChinaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaUniversity performance has an important effect on the social influence of universities. With increasing emphasis placed on higher education, it is important to improve and optimize university performance management. However, the performance of university management is affected by numerous indicators in practice, and it is difficult for administrators to optimize all of them because of resource restriction. To address this concern, in this paper, we design a novel integrated model by combining linguistic hesitant fuzzy sets (LHFSs) with the decision-making trial and evaluation laboratory (DEMATEL) method to identify key performance indicators (KPIs) for improving the level of university performance management. Specifically, the LHFSs are utilized to express the hesitant and vague interrelationship assessment of performance indicators provided by experts. A modified DEMATEL is adopted to visualize the causal relationship between performance indicators and determine critical ones. Moreover, we introduce a gray relation analysis (GRA)-based method to derive experts’ weights when their weight information is unknown. Finally, a comprehensive university in Shanghai, China, is employed as an example to illustrate the practicability and availability of the proposed linguistic hesitant fuzzy DEMATEL model.https://www.mdpi.com/2227-7390/8/10/1729university performance managementlinguistic hesitant fuzzy setDEMATEL methodkey performance indicator |
| spellingShingle | Qi-Zhen Zhang Shan Jiang Ran Liu Hu-Chen Liu An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management Mathematics university performance management linguistic hesitant fuzzy set DEMATEL method key performance indicator |
| title | An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management |
| title_full | An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management |
| title_fullStr | An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management |
| title_full_unstemmed | An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management |
| title_short | An Integrated Decision-Making Model for Analyzing Key Performance Indicators in University Performance Management |
| title_sort | integrated decision making model for analyzing key performance indicators in university performance management |
| topic | university performance management linguistic hesitant fuzzy set DEMATEL method key performance indicator |
| url | https://www.mdpi.com/2227-7390/8/10/1729 |
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