In this study we propose a multistage mathematical model of coopetitive games to show how the adoption of a coopetitive framework, which considers cooperation and competition simultaneously, may advance our understanding of the study of asymmetric research and developemnt (R&D) alliances. Those alliances are aimed at exploring and/or exploiting knowledge between young and small firms and large multinational enterprises (MNEs). We selected this model, which is particularly suitable for exploring complex types of asymmetric R&D alliances that epitomize the biopharmaceutical industry, based upon the literature on asymmetric R&D cooperation and coopetition. In particular, we propose a formal coopetitive approach, where coopetition is a vector variable belonging to an n-dimensional Euclidean space. We graphically show that cooperative efforts are required and beneficial even though partners are potentially competitors in the marketplace and shape the common payoff space that they commonly create. By doing so, we highlight the requirement that coopetitive partners should balance effectively their interaction dynamics, interactions that affect both the value creation and value capture processes.
|Titolo:||Asymmetric R&D Alliances in the Biopharmaceutical Industry: A Multi-Stage Coopetitive Approach|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||1.1 Articolo in rivista|