標題: Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model
作者: Huang, J. -J.
Tzeng, G. -H.
Ong, C. -S.
科技管理研究所
Institute of Management of Technology
關鍵字: fuzzy sets;strategic alliances;De Novo programming;joint ventures;mergers and acquisitions (M&A)
公開日期: 1-Oct-2006
摘要: 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
期刊: JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
Volume: 57
Issue: 10
起始頁: 1216
結束頁: 1223
Appears in Collections:Articles