Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Huang, J. -J. | en_US |
dc.contributor.author | Tzeng, G. -H. | en_US |
dc.contributor.author | Ong, C. -S. | en_US |
dc.date.accessioned | 2014-12-08T15:15:40Z | - |
dc.date.available | 2014-12-08T15:15:40Z | - |
dc.date.issued | 2006-10-01 | en_US |
dc.identifier.issn | 0160-5682 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1057/palgrave.jors.2602108 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/11697 | - |
dc.description.abstract | Synergy 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.iso | en_US | en_US |
dc.subject | fuzzy sets | en_US |
dc.subject | strategic alliances | en_US |
dc.subject | De Novo programming | en_US |
dc.subject | joint ventures | en_US |
dc.subject | mergers and acquisitions (M&A) | en_US |
dc.title | Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1057/palgrave.jors.2602108 | en_US |
dc.identifier.journal | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | en_US |
dc.citation.volume | 57 | en_US |
dc.citation.issue | 10 | en_US |
dc.citation.spage | 1216 | en_US |
dc.citation.epage | 1223 | en_US |
dc.contributor.department | 科技管理研究所 | zh_TW |
dc.contributor.department | Institute of Management of Technology | en_US |
dc.identifier.wosnumber | WOS:000241588300007 | - |
dc.citation.woscount | 8 | - |
Appears in Collections: | Articles |