Abstract

This chapter introduces the methodological approach of innovation management modelling following the advent of digitalisation, big data and computational simulation. It highlights how especially agent-based modelling has become an increasing appropriate innovation management tool for addressing the “what if” questions of organisational interventions, providing managers with insights from realistic scenario modelling in order to test and assess strategic options before the implementation phase. These new experimental methods are not only about identifying potential, chances and options of innovation management strategies but can also be used for avoiding undesirable outcomes in terms of an early-warning system. The computational methods are scalable: they apply to assessing innovation strategies of single firms, to clusters and to industry associations.