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Research performance evaluation of Chinese university: A non-homogeneous network DEA approach
- Source :
- Journal of Management Science and Engineering. 6:467-481
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Performance evaluation for universities or research institutions has become a hot topic in recent years. However, the previous works rarely investigate the multiple departments’ performance of a university, and especially, none of them consider the non-homogeneity among the universities’ departments. In this paper, we develop data envelopment analysis (DEA) models to evaluate the performance of general non-homogeneous decision making units (DMUs) with two-stage network structures and then apply them to a university in China. Specifically, the first stage is faculty research process, and the second stage is student research process. We first spit each DMU (i.e. department) into a combination of several mutually exclusive maximal input subgroups and output subgroups in terms of their homogeneity in both stages. Then an additive DEA model is proposed to evaluate the performance of the overall efficiency of the non-homogeneous DMUs with two-stage network structure. By analyzing the empirical results, some implications are provided to support the university to promote the research performance of each department as well as the whole university.
- Subjects :
- 021103 operations research
Operations research
Computer science
Strategy and Management
05 social sciences
0211 other engineering and technologies
General Decision Sciences
Network structure
02 engineering and technology
Mutually exclusive events
Research process
Management Information Systems
Control and Systems Engineering
Management of Technology and Innovation
Non homogeneous
0502 economics and business
Data envelopment analysis
Business and International Management
Student research
Engineering (miscellaneous)
050203 business & management
Overall efficiency
Subjects
Details
- ISSN :
- 20962320
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of Management Science and Engineering
- Accession number :
- edsair.doi...........4456e1c2366cc23128e2a038e48614e1