The management of the transition to bioeconomy has developed relatively recently, to cope with the challenges of the 21st century. The determinants of transition are related to economic, social, biological and environmental evolution. In particular, the envisaged factors consist in demographic...

Knowledge-based biomedical data science involves the design and implementation of computer systems that act as if they knew about biomedicine. Such systems depend on formally represented knowledge in computer systems, often in the form of knowledge graphs. Here we survey recent progress in...

This study analyses 1400 research projects of the top 20 R&D-spending pharmaceuticals to identify the determinants of successful research projects. We provide clear evidence that externally sourced projects and projects involving biotechnologies perform better than internal projects and chemical...

The real option theory provides a useful tool to evaluate an R&D investment under uncertainty because, unlike the NPV (Net Present Value), it considers the managerial flexibility that may be expand the investment opportunity value. However, most R&D investment projects are open to competing...

We develop a simple model of competition for the market that shows that, contrary to the Arrow view, endogenous entry threat in a market induces the average firm to invest less in R&D and the incumbent leader to invest more. We test these predictions with a Tobit model based on a unique dataset...

This paper presents a model to explain why both industry leaders and follower firms often invest in R&D and explores the welfare implications of these R&D investment choices. Regardless of initial conditions, the equilibrium path in this model involves gradually convergence to a balanced growth...