A real options based model to select a balanced R&D portfolio

Abstract

The R&D process in the pharmaceutical industry has a long and dynamic life then it is an ideal field of application for ROA. Actually, ROA implementation, as widely demonstrated in literature, is narrowed to very limited cases because its perceived complexity. This research wants to suggest a simplified method, respect the ones available in literature, that could foster the use of ROA: we built up an integer linear programming model, based on a model available in literature, useful for selecting a balanced R&D portfolio from a set of candidate drugs. The model has been tested through a case study.