Distribution and Evolution of Actors’ Roles in Knowledge Transfer in Innovation Networks

Abstract

Collaborative innovation is an important mechanism for firms to exchange and acquire external knowledge. Through collaboration, innovators convene and form networks that, in return, help overcome the boundaries of knowledge transfer. To have a better understanding of actors’ collaborating behaviours in innovation networks, we identify three pairs of roles: 1) do actors make connections or bonds with their partners? 2) do actors exchange their knowledge with internal or external partners? 3) do actors absorb or distribute knowledge? We examine the distribution and evolution of actors’ roles from these three perspectives by using social network analysis. In this thesis, we use thousands of patent data from the United States Patent and Trademark Office, to investigate the actors’ behaviours in the chemical industries of two Canadian regions, i.e. Montreal and Windsor-Sarnia. Based on the results of our analysis, Montreal, acting as a public-dominated region, shows a more complex distribution of roles, while Windsor-Sarnia with a private orientation indicates a simplex pattern. From the evolution perspective, the network of Montreal is more stable and diversified, with key actors being active in the local network for more extended periods. Unlike Montreal, Windsor-Sarnia faces a higher level of mobility and globalization.