| Article ID: | iaor20072194 |
| Country: | United Kingdom |
| Volume: | 57 |
| Issue: | 10 |
| Start Page Number: | 1216 |
| End Page Number: | 1223 |
| Publication Date: | Oct 2006 |
| Journal: | Journal of the Operational Research Society |
| Authors: | Tzeng G.-H., Huang J.-J., Ong C.-S. |
| Keywords: | programming: multiple criteria, fuzzy sets |
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, 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.