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HEC Paris. Research Department Les Cahiers de Recherche - HEC Paris
 

No 1068:
A Two-Sided Matching Approach for Partner Selection and Assessing Complementarities in Partnersí Attributes in Inter-Firm Alliances

Denisa Mindruta () and Mahka Moeen ()

Abstract: Strategic alliances are undertaken to create value through complementarities of resources and capabilities of the partner firms. The authors develop a matching framework to study strategic alliances, taking a market perspective that explicitly incorporates key features of transactions in strategic alliances: two sided decision making in voluntary collaboration; quest for complementarities between indivisible and heterogeneous partner attributes; and competition on each side for partners on the other side. They assess the relative performance of matching models and binary choice models when estimating parameters within simulations based on a known functional relationship. Within the context of research alliances in the bio-pharmaceutical industry, we hypothesize and find support using the matching model framework for complementarity in partner size, and in upstream research capabilities.

Keywords: alliances; two-sided matching; maximum score estimator; bio-pharmaceutical industry; complementarity; (follow links to similar papers)

52 pages, November 22, 2014

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