Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore...

We conduct a framed laboratory experiment to gain in-depth insights on factors that drive collective research and development efforts among firms located along the automotive value chain. In particular, we employ a public goods experiment and analyze the influence of sequential decision-making...

In this paper we outline a conceptual framework for depicting network development patterns of interfirm innovation networks and for analyzing the dynamic evolution of an R&D network in the German automotive industry. We test the drivers of evolutionary change processes of a network which is...