Discriminating efficient candidates of MEA model
| dc.citation.epage | 113 | en_US |
| dc.citation.spage | 109 | en_US |
| dc.citation.volume | 19 | en_US |
| dc.citation.woscount | 0 | en_US |
| dc.contributor.author | Liu, Fuh-hwa Franklin | en_US |
| dc.contributor.author | Chen, Cheng-Li | en_US |
| dc.contributor.department | 工業工程與管理學系 | zh_TW |
| dc.contributor.department | Department of Industrial Engineering and Management | en_US |
| dc.date.accessioned | 2019-04-02T06:04:26Z | |
| dc.date.available | 2019-04-02T06:04:26Z | |
| dc.date.issued | 2011-01-01 | en_US |
| dc.description.abstract | Multi-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.identifier.issn | 2010-4626 | en_US |
| dc.identifier.journal | ADVANCED MANAGEMENT SCIENCE | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/150600 | |
| dc.identifier.wosnumber | WOS:000318459400021 | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | data envelopment analysis | en_US |
| dc.subject | multi-directional efficiency analysis | en_US |
| dc.subject | worst-practice frontier | en_US |
| dc.title | Discriminating efficient candidates of MEA model | en_US |
| dc.type | Proceedings Paper | en_US |
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