Choosing best alliance partners and allocating optimal alliance resources using the fuzzy multi-objective dummy programming model
Journal
Journal of the Operational Research Society
Journal Volume
57
Journal Issue
10
Pages
1216-1223
Date Issued
2006
Author(s)
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. © 2006 Operational Research Society Ltd. All rights reserved.
Subjects
De Novo programming; Fuzzy sets; Joint ventures; Mergers and acquisitions (M&A); Strategic alliances
Other Subjects
Computer programming; Fuzzy sets; Mathematical models; Mergers and acquisitions; Planning; Problem solving; De Novo programming; Joint ventures; Strategic alliances; Resource allocation
Type
journal article