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Climbing university rankings under resources constraints: a combined approach integrating DEA and directed Louvain community detection
Abstract
Over recent years, scholarly interest in universities’ allocation and effective utilisation of financial resources has been growing. When used efficiently, financial resources may improve universities’ quality of research and teaching, and therefore their positions inworld university rankings. However, despite the relevance of financial efficiency to university placement in academic rankings, universities’ total available financial resources appear much more significant. In the present study, we propose an innovative methodology to determine realistic ranking targets for individual universities, based on their available financial resources. In particular, we combine data envelopment analysis, as developed by Banker et al. (Manag Sci 30(9):1078–1092, 1984), and a directed Louvain community detection algorithm to examine 318 universities across five countries, considering their ARWU scores alongside key financial indicators (i.e., long-term physical capital, total operating revenues).We identify clusters of universities with similar financial profiles and corresponding ARWU scores, as well as universities that have optimised their use of financial resources, representing benchmarks for similar universities to emulate. The approach is subsequently applied to Italian universities, as a specific national case. The findings may be useful for policy makers and university managers seeking reliable strategies for climbing academic rankings, particularly in countries with limited public investment in higher education.
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Authors (4)
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Simone Di Leo
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Alessandro Avenali
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Cinzia Daraio
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s10479-024-06219-7
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach dostępnych w wersji elektronicznej [także online]
- Published in:
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ANNALS OF OPERATIONS RESEARCH
ISSN: 0254-5330 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Di Leo S., Avenali A., Daraio C., Wolszczak-Derlacz J., Climbing university rankings under resources constraints: a combined approach integrating DEA and directed Louvain community detection, ANNALS OF OPERATIONS RESEARCH, 2024,10.1007/s10479-024-06219-7
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s10479-024-06219-7
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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