Abstract
Data envelopment analysis (DEA) has been widely applied in measuring the efficiency of homogeneous decision-making units. Network DEA, as an important branch of DEA, was built to examine the internal structure of a system, whereas traditional DEA models regard a system as a ‘black box’. However, only a few previous studies on parallel systems have considered the interdependent relationship between system components. In recent years, parallel interdependent processes systems commonly exist in production systems because of serious competition among organisations. Thus, an approach to measure the efficiency of such systems should be proposed. This paper builds an additive DEA model to measure a parallel interdependent processes system with two components which have an interdependent relationship. Then, the model is applied to analyse the ‘985 Project’ universities in China, and certain policy implications are explained.
| Original language | English |
|---|---|
| Pages (from-to) | 5387-5399 |
| Number of pages | 13 |
| Journal | International Journal of Production Research |
| Volume | 57 |
| Issue number | 17 |
| Early online date | 20 Sept 2018 |
| DOIs | |
| Publication status | Published - 2 Sept 2019 |
Bibliographical note
© 2018 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis Group in International Journal of Production Research on 20 Sept 2018, available online at: http://www.tandfonline.com/10.1080/00207543.2018.1521531Keywords
- Data envelopment analysis
- parallel interdependent processes systems
- network DEA
- additive model
- ‘985 Project’ universities