The systemic approach has been widely applied to the study of innovation, given the existence of multiple heterogeneous agents whose interaction allows the generation, diffusion and use of knowledge. However, such interaction presents difficulties because there are gaps between agents, being the intermediaries responsible for building bridges and facilitating linkage. Nevertheless, analyzing the impact of intermediaries is not easy, mainly because the problem of attribution, where different approaches are nothing more than a photography that lacks a dynamic and longitudinal analysis. This work aims to overcome such limitations by agent-based simulation, which helps broaden understanding of the phenomenon of intermediation in innovation systems and their impact on performance.
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© Universidad Alberto Hurtado, Facultad de Economía y Negocios.