Merging decision-making units under inter-temporal dependence

被引:21
|
作者
Zeinodin, E. [1 ]
Ghobadi, S. [1 ]
机构
[1] Islamic Azad Univ, Dept Math, Khomeinishahr Branch, Esfahan, Iran
关键词
data envelopment analysis (DEA); inverse DEA; merging DMUs; inter-temporal dependence; multiple-objective programming (MOP); INVERSE DEA; POTENTIAL GAINS; BANK MERGERS; MODEL;
D O I
10.1093/imaman/dpz005
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This article deals with merging of decision-making units (DMUs) under the inter-temporal dependence assumption. The present study answers the following question in the dynamic data envelopment analysis framework: if a subset of DMUs is required to merge and create a new DMU with a specific input/output level and a predetermined efficiency target, what should be the level of output/input of the merged DMU? Sufficient conditions are derived for input/outputestimation of the merged DMU under the inter-temporal dependence assumption. The performance of the proposed method is demonstrated by applying it to a banking sector example.
引用
收藏
页码:139 / 166
页数:28
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