Abstract
The purpose of this article is to provide a method for choosing an innovation portfolio, which is based on a simple and fundamental result from information theory. Given a set of innovation projects, estimated payoffs and probabilities of success for each, and an established capital fund, the question is “How much should one invest in each project in order to maximize the growth and reduce the risk of going bust?” That is, how should innovation leaders gamble on their innovation projects? The question is part of the process design for innovation processes. The concept in this article is especially important for early-stage innovation projects, where the probability of success is often <50%. As a heuristic, for p = 50%, one needs a payoff of b = 4 to achieve a 25% median compound annual growth rate. This article provides an algorithm to guide investment decisions in innovation, plus some heuristics that can be used for guidance. It also emphasizes the critical importance of estimating both the probabilities of success and the payoffs for projects.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
