Incorporating performance measures with target levels in data envelopment analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Sungmook | - |
dc.contributor.author | Zhu, Joe | - |
dc.date.accessioned | 2021-09-05T19:24:45Z | - |
dc.date.available | 2021-09-05T19:24:45Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2013-11-01 | - |
dc.identifier.issn | 0377-2217 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/101646 | - |
dc.description.abstract | Data envelopment analysis (DEA) is a technique for evaluating relative efficiencies of peer decision making units (DMUs) which have multiple performance measures. These performance measures have to be classified as either inputs or outputs in DEA. DEA assumes that higher output levels and/or lower input levels indicate better performance. This study is motivated by the fact that there are performance measures (or factors) that cannot be classified as an input or output, because they have target levels with which all DMUs strive to achieve in order to attain the best practice, and any deviations from the target levels are not desirable and may indicate inefficiency. We show how such performance measures with target levels can be incorporated in DEA. We formulate a new production possibility set by extending the standard DEA production possibility set under variable returns-to-scale assumption based on a set of axiomatic properties postulated to suit the case of targeted factors. We develop three efficiency measures by extending the standard radial, slacks-based, and Nerlove-Luenberger measures. We illustrate the proposed model and efficiency measures by applying them to the efficiency evaluation of 36 US universities. (C) 2013 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | DISTANCE FUNCTIONS | - |
dc.subject | EFFICIENCY | - |
dc.subject | QUALITY | - |
dc.subject | OUTPUTS | - |
dc.title | Incorporating performance measures with target levels in data envelopment analysis | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, Sungmook | - |
dc.identifier.doi | 10.1016/j.ejor.2013.04.051 | - |
dc.identifier.scopusid | 2-s2.0-84879505782 | - |
dc.identifier.wosid | 000322055400018 | - |
dc.identifier.bibliographicCitation | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.230, no.3, pp.634 - 642 | - |
dc.relation.isPartOf | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | - |
dc.citation.title | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | - |
dc.citation.volume | 230 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 634 | - |
dc.citation.endPage | 642 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Management | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | DISTANCE FUNCTIONS | - |
dc.subject.keywordPlus | EFFICIENCY | - |
dc.subject.keywordPlus | QUALITY | - |
dc.subject.keywordPlus | OUTPUTS | - |
dc.subject.keywordAuthor | Data envelopment analysis (DEA) | - |
dc.subject.keywordAuthor | Performance measure | - |
dc.subject.keywordAuthor | Target level | - |
dc.subject.keywordAuthor | Efficiency | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.