Measuring performance of two-stage network structures by DEA: A review and future perspective

被引：394

作者：

Cook, Wade D. ^{[2
]}

Liang, Liang ^{[3
]}

Zhu, Joe ^{[1
]}

机构：

[1] Worcester Polytech Inst, Dept Management, Worcester, MA 01609 USA

[2] York Univ, Schulich Sch Business, Toronto, ON M3J 1P3, Canada

[3] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China

来源：

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2010年 / 38卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Data envelopment analysis (DEA); Efficiency; Game; Intermediate measure; Network; Cooperative; Two-stage; DATA ENVELOPMENT ANALYSIS; EFFICIENCY DECOMPOSITION; MODELS; SALES;

D O I：

10.1016/j.omega.2009.12.001

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). An important area of development in recent years has been devoted to applications wherein DMUs represent two-stage or network processes. One particular subset of such processes is those in which all the outputs from the first stage are the only inputs to the second stage. The current paper reviews these models and establishes relations among various approaches. We show that all the existing approaches can be categorized as using either Stackelberg (leader-follower), or cooperative game concepts. Future perspectives and challenges are discussed. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：423 / 430

页数：8

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