Title: | Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model |
Authors: | Huang, J. -J. Tzeng, G. -H. Ong, C. -S. 科技管理研究所 Institute of Management of Technology |
Keywords: | fuzzy sets;strategic alliances;De Novo programming;joint ventures;mergers and acquisitions (M&A) |
Issue Date: | 1-Oct-2006 |
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. |
URI: | http://dx.doi.org/10.1057/palgrave.jors.2602108 http://hdl.handle.net/11536/11697 |
ISSN: | 0160-5682 |
DOI: | 10.1057/palgrave.jors.2602108 |
Journal: | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY |
Volume: | 57 |
Issue: | 10 |
Begin Page: | 1216 |
End Page: | 1223 |
Appears in Collections: | Articles |