Abstract
The concept of Innovation Value Chains (IVCs) has been applied to studying innovation processes both on the abstract theoretical level and in particular industries. The recent studies suggest that various IVCs may co-exist forming interrelated networks where innovation in one area boost multiple innovations in other areas. This paper analyses the resulting webs of IVCs (WIVCs) in the light of complexity theory calling for the respective methodological approaches, including agent-based modelling (ABM). ABM has been previously used to study innovation processes and this paper suggests the next step in developing of such models. It describes how interrelated IVCs may be modelled and studied as complex dynamic systems. The model description is structured in accordance with ODD+D protocol. Referring to the complexity theory, the paper culminates with testable propositions and concludes with implications for researchers and practitioners.
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