Additive super-efficiency in integer-valued data envelopment analysis
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 solution...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/102612 http://hdl.handle.net/10220/11284 |
| _version_ | 1811685411493249024 |
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| author | Cook, Wade D. Du, Juan Chen, Yao Zhu, Joe Chen, Chien-Ming |
| author2 | Nanyang Business School |
| author_facet | Nanyang Business School Cook, Wade D. Du, Juan Chen, Yao Zhu, Joe Chen, Chien-Ming |
| author_sort | Cook, Wade D. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:44:06Z |
| format | Journal Article |
| id | ntu-10356/102612 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:44:06Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1026122023-05-19T06:44:41Z Additive super-efficiency in integer-valued data envelopment analysis Cook, Wade D. Du, Juan Chen, Yao Zhu, Joe Chen, Chien-Ming Nanyang Business School DRNTU::Business 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. 2013-07-12T03:14:26Z 2019-12-06T20:57:34Z 2013-07-12T03:14:26Z 2019-12-06T20:57:34Z 2011 2011 Journal Article https://hdl.handle.net/10356/102612 http://hdl.handle.net/10220/11284 10.1016/j.ejor.2011.10.023 en European journal of operational research © 2011 Elsevier B.V. |
| spellingShingle | DRNTU::Business Cook, Wade D. Du, Juan Chen, Yao Zhu, Joe Chen, Chien-Ming Additive super-efficiency in integer-valued data envelopment analysis |
| title | Additive super-efficiency in integer-valued data envelopment analysis |
| title_full | Additive super-efficiency in integer-valued data envelopment analysis |
| title_fullStr | Additive super-efficiency in integer-valued data envelopment analysis |
| title_full_unstemmed | Additive super-efficiency in integer-valued data envelopment analysis |
| title_short | Additive super-efficiency in integer-valued data envelopment analysis |
| title_sort | additive super efficiency in integer valued data envelopment analysis |
| topic | DRNTU::Business |
| url | https://hdl.handle.net/10356/102612 http://hdl.handle.net/10220/11284 |
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