Name
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. © 2011 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.ejor.2011.10.023 | European Journal of Operational Research |
Keywords | Field | DocType |
Data envelopment analysis,Early-stage ventures,Integer-valued data,Slacks,Super-efficiency | Integer,Mathematical optimization,Input/output,Rounding,Data envelopment analysis,Super efficiency,Mathematics,Operations management | Journal |
Volume | Issue | ISSN |
218 | 1 | 0377-2217 |
Citations | PageRank | References |
2 | 0.38 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Du | 1 | 154 | 8.02 |
| Chien-Ming Chen | 2 | 38 | 2.53 |
| Yao Chen | 3 | 544 | 40.02 |
| Wade D. Cook | 4 | 1215 | 84.70 |
| Joe Zhu | 5 | 1762 | 167.31 |