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dc.contributor.authorLiu, J. S.en_US
dc.contributor.authorLu, W-Men_US
dc.contributor.authorYang, C.en_US
dc.contributor.authorChuang, M.en_US
dc.date.accessioned2014-12-08T15:08:19Z-
dc.date.available2014-12-08T15:08:19Z-
dc.date.issued2009-11-01en_US
dc.identifier.issn0160-5682en_US
dc.identifier.urihttp://dx.doi.org/10.1057/jors.2009.35en_US
dc.identifier.urihttp://hdl.handle.net/11536/6465-
dc.description.abstractData envelopment analysis (DEA) is known to produce more than one efficient decision-making unit (DMU). This paper proposes a network-based approach for further increasing discrimination among these efficient DMUs. The approach treats the system under study as a directed and weighted network in which nodes represent DMUs and the direction and strength of the links represent the relative relationship among DMUs. In constructing the network, the observed node is set to point to its referent DMUs as suggested by DEA. The corresponding lambda values for these referent DMUs are taken as the strength of the network link. The network is weaved by not only the full input/output model, but also by models of all possible input/output combinations. Incorporating these models into the system basically introduces the merits of each DMU under various situations into the system and thus provides the key information for further discrimination. Once the network is constructed, the centrality concept commonly used in social network analysis-specifically, eigenvector centrality-is employed to rank the efficient DMUs. The network-based approach tends to rank high the DMUs that are not specialized and have balanced strengths.en_US
dc.language.isoen_USen_US
dc.subjectdata envelopment analysisen_US
dc.subjectlinear programmingen_US
dc.subjectsocial network analysisen_US
dc.subjectBonacich centralityen_US
dc.titleA network-based approach for increasing discrimination in data envelopment analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1057/jors.2009.35en_US
dc.identifier.journalJOURNAL OF THE OPERATIONAL RESEARCH SOCIETYen_US
dc.citation.volume60en_US
dc.citation.issue11en_US
dc.citation.spage1502en_US
dc.citation.epage1510en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000270140800005-
dc.citation.woscount3-
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