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Title: Additive super-efficiency in integer-valued data envelopment analysis
Authors: Cook, Wade D.
Du, Juan
Chen, Yao
Zhu, Joe
Chen, Chien-Ming
Keywords: DRNTU::Business
Issue Date: 2011
Series/Report no.: European journal of operational research
Abstract: Conventional data envelopment analysis (DEA) methods assume that input and output variables are continuous. However, in many real managerial cases, some inputs and/or outputs can only take integer values. Simply rounding the performance targets to the nearest integers can lead to misleading solutions and efficiency evaluation. Addressing this kind of integer-valued data, the current paper proposes models that deal directly with slacks to calculate efficiency and super-efficiency scores when integer values are present. Compared with standard radial models, additive (super-efficiency) models demonstrate higher discrimination power among decision making units, especially for integer-valued data. We use an empirical application in early-stage ventures to illustrate our approach.
DOI: 10.1016/j.ejor.2011.10.023
Rights: © 2011 Elsevier B.V.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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