A robust fuzzy possibilistic AHP approach for partner selection in international strategic alliance

• Main Authors: Vahid Reza Salamat, Alireza Aliahmadi, Mir Saman Pishvaee, Khalid Hafeez
• Format: Article
• Language: English
• Published: Growing Science 2018-09-01
• Series: Decision Science Letters
• Subjects: International Strategic Alliance; Resource-Based View; Transaction-Cost Theory; Fit; Robust Programming; Interval AHP
• Online Access: http://www.growingscience.com/dsl/Vol7/dsl_2017_39.pdf
• ISSN: 1929-5804; 1929-5812

The international strategic alliance is an inevitable solution for making competitive advantage and reducing the risk in today’s business environment. Partner selection is an important part in success of partnerships, and meanwhile it is a complicated decision because of various dimensions of the problem and inherent conflicts of stockholders. The purpose of this paper is to provide a practical approach to the problem of partner selection in international strategic alliances, which fulfills the gap between theories of inter-organizational relationships and quantitative models. Thus, a novel Robust Fuzzy Possibilistic AHP approach is proposed for combining the benefits of two complementary theories of inter-organizational relationships named, (1) Resource-based view, and (2) Transaction-cost theory and considering Fit theory as the perquisite of alliance success. The Robust Fuzzy Possibilistic AHP approach is a novel development of Interval-AHP technique employing robust formulation; aimed at handling the ambiguity of the problem and let the use of intervals as pairwise judgments. The proposed approach was compared with existing approaches, and the results show that it provides the best quality solutions in terms of minimum error degree. Moreover, the framework implemented in a case study and its applicability were discussed.