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dc.contributor.authorLiu, Fuh-hwa Franklinen_US
dc.contributor.authorChen, Cheng-Lien_US
dc.date.accessioned2019-04-02T06:04:26Z-
dc.date.available2019-04-02T06:04:26Z-
dc.date.issued2011-01-01en_US
dc.identifier.issn2010-4626en_US
dc.identifier.urihttp://hdl.handle.net/11536/150600-
dc.description.abstractMulti-directional efficiency analysis (MBA) has the advantage of separating the issue of benchmark selection from the issue of efficiency measurement. Like most of DEA models, MBA model often identifies plural candidates to be efficient. Due to absence of weights and infeasibility, we are unable to create cross-efficiency and super-efficiency models of MEA for discriminating efficient candidates. The recent paper suggests a proper technique and proposes a worst-practice MBA model for discriminating efficient candidates. An empirical example is used for illustrative purposes.en_US
dc.language.isoen_USen_US
dc.subjectdata envelopment analysisen_US
dc.subjectmulti-directional efficiency analysisen_US
dc.subjectworst-practice frontieren_US
dc.titleDiscriminating efficient candidates of MEA modelen_US
dc.typeProceedings Paperen_US
dc.identifier.journalADVANCED MANAGEMENT SCIENCEen_US
dc.citation.volume19en_US
dc.citation.spage109en_US
dc.citation.epage113en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000318459400021en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper