Performance measurement and classification data in DEA: Input-oriented model

被引：22

作者：

Cook, Wade D. ^{[1
]}

Bala, Kamel

机构：

[1] York Univ, Seymour Schulich Sch Business, Dept Management Sci, N York, ON M3J 1P3, Canada

[2] SITel, ERP Dept Manager, CH-1701 Givisiez, Switzerland

来源：

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2007年 / 35卷 / 01期

关键词：

DEA; expert judgment; classification; goal programming; logistic regression;

D O I：

10.1016/j.omega.2005.02.002

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper presents an improved efficiency measurement tool by modifying the existing data envelopment analysis methodology to permit the incorporation of expert knowledge. A previous paper examined the inclusion of such knowledge within the additive model. This information appeared in the form of a binary classification of a subset of the decision making units under study (e.g. good versus poor performers). In the current paper, we extend this logic to the input-oriented radial projection model. We demonstrate that the inclusion of this and other forms of expert judgment can improve the performance of the DEA tool in the sense that the efficiency scores are more in line with expert/management beliefs. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：39 / 52

页数：14

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