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dc.contributor.authorHuang, J. -J.en_US
dc.contributor.authorTzeng, G. -H.en_US
dc.contributor.authorOng, C. -S.en_US
dc.date.accessioned2014-12-08T15:15:40Z-
dc.date.available2014-12-08T15:15:40Z-
dc.date.issued2006-10-01en_US
dc.identifier.issn0160-5682en_US
dc.identifier.urihttp://dx.doi.org/10.1057/palgrave.jors.2602108en_US
dc.identifier.urihttp://hdl.handle.net/11536/11697-
dc.description.abstractSynergy effects are the motives to enter into strategic alliances; however due to lack of adequate preparation or planning, these alliances often fail. It is of no doubt that a successful strategic alliance depends on choosing the correct alliance partners and appropriate resource allocation. In this paper, the fuzzy multi-objective dummy programming model is proposed to overcome the above-mentioned problems. Two types of strategic alliances, joint ventures and mergers and acquisitions (M&A), are demonstrated to choose the best alliance partners and allocate the optimal alliance resources in a numerical example. Based on the results, our method can provide the optimal alliance cluster and satisfaction in strategic alliances.en_US
dc.language.isoen_USen_US
dc.subjectfuzzy setsen_US
dc.subjectstrategic alliancesen_US
dc.subjectDe Novo programmingen_US
dc.subjectjoint venturesen_US
dc.subjectmergers and acquisitions (M&A)en_US
dc.titleChoosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1057/palgrave.jors.2602108en_US
dc.identifier.journalJOURNAL OF THE OPERATIONAL RESEARCH SOCIETYen_US
dc.citation.volume57en_US
dc.citation.issue10en_US
dc.citation.spage1216en_US
dc.citation.epage1223en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000241588300007-
dc.citation.woscount8-
Appears in Collections:Articles