1. ¹National Taiwan University, Taipei, Taiwan
2. ²National Chiao Tung University, Hsinchu, Taiwan
3. ³Kainan University, Taoyuan, Taiwan

Correspondence: GH Tzeng, Institute of Management and Technology, National Chiao Tung University, Ta-Hsueh Road, Hsinchu 1001, Taiwan. E-mail: ghtzeng@cc.nctu.edu.tw

Received November 2004; Accepted August 2005; Published online 9 November 2005.

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.