A critical analytic survey of an Asymmetric R&D Alliance in Pharmaceutical industry: bi-parametric study case

In our paper, we present a meaningful economic generalization of the model presented in Baglieri et al. 2016a. Our new generalized model allows us to forecast, at the beginning of the game, the future gains in the case of uncertain selling scenarios, that is, we can consider scenarios in which we don't know how much product will be bought by the Market and only a part of the total production is actually sold. We introduce parameters indicating what percentages of production is actually sold in the Market. Moreover we shall consider and analyze some particular numerical cases of that general setting. These study cases in Pharmaceutical Industry are developed with their numerical and critical analysis and solutions (also in order to figure out the deep relevance of the variations of our parameters for the solutions of the coopetitive game and for the economical significance). Suggestions for future research and developments conclude the paper.