Performance measurement and classification data in DEA: Input-oriented model |
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Authors: | Wade D Cook Kamel Bala |
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Institution: | 1. Department of Management Science, Seymour Schulich School of Business, York University, Toronto, Canada, M3J 1P3;2. ERP Department Manager, SITel, Impasse de la colline 1, Givisiez, 1701, Switzerland |
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Abstract: | 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. |
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Keywords: | DEA Expert judgment Classification Goal programming Logistic regression |
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