Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model

Huang J-J, Tzeng G-H () and Ong C-S
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Huang J-J: National Taiwan University
Tzeng G-H: National Chiao Tung University
Ong C-S: National Taiwan University

Journal of the Operational Research Society, 2006, vol. 57, issue 10, 1216-1223

Abstract: 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.

Keywords: fuzzy sets; strategic alliances; De Novo programming; joint ventures; mergers and acquisitions (M&A) (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1057/palgrave.jors.2602108

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