Innovation network trajectories and changes in resource bundles

This paper reports on an investigation into how changes in network resource bundles influence the success of innovation networks and how they change trajectories over time. Innovation networks are complex adaptive systems, and this paper uses a fuzzy set theory simulation methodological approach to capture complexity. The findings indicate that the interdependencies between knowledge variables and financial resources are the greatest contributor to high performing innovation networks, whereas the loss of social capital and its interdependency with the environment are the largest contributors to declines in innovation network performance. The paper suggests a more nuanced role for social capital within innovation networks and, importantly, highlights the sequencing of knowledge contributions, which take low performing innovation networks to high performing innovation networks.