A balanced data envelopment analysis cross-efficiency evaluation approach

2018 ◽  
Vol 106 ◽  
pp. 154-168 ◽  
Author(s):  
Feng Li ◽  
Qingyuan Zhu ◽  
Zhi Chen ◽  
Hanbing Xue
2019 ◽  
Vol 53 (2) ◽  
pp. 645-655 ◽  
Author(s):  
Gholam R. Amin ◽  
Amar Oukil

This paper discusses the impact of ganging decision making units (DMUs) on the cross-efficiency evaluation in data envelopment analysis (DEA). A group of DMUs are said to be ganging-together if the minimum and the maximum cross-efficiency scores they give to all other DMUs are identical. This study demonstrates that the ganging phenomenon can significantly influence the cross-efficiency evaluation in favour of some DMUs. To overcome this shortcoming, we propose a gangless cross-efficiency evaluation approach. The suggested method reduces the effect of ganging and generates a more diversified list of top performing units. An application to the Tehran stock market is used to show the benefits of gangless cross-evaluation.


2007 ◽  
Vol 55 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Martin Dlouhý ◽  
Josef Jablonský ◽  
Ivana Novosádová

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