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Additive super-efficiency in integer-valued data envelopment analysis
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DOI：10.1016/j.ejor.2011.10.023.png)
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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. (C) 2011 Elsevier B.V. All rights reserved.
Keyword:
Data envelopment analysis
Early-stage ventures
Integer-valued data
Slacks
Super-efficiency
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6
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2.2W
被引数:
6.4W
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