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.
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Huang, JJ., Tzeng, GH. & Ong, CS. Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model. J Oper Res Soc 57, 1216–1223 (2006). https://doi.org/10.1057/palgrave.jors.2602108
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DOI: https://doi.org/10.1057/palgrave.jors.2602108