The distribution of roles and functions for upscaling and outscaling innovations in agricultural innovation systems

In this paper we use a network perspective to study the micro level of agricultural innovation systems and investigate the different roles and functions that collaborating actors have to perform to spread their innovation both horizontally and vertically. Based on a literature review, we distinguish between three separate network functions: (1) learning and knowledge co-creation, (2) upscaling and institutional entrepreneurship and (3) outscaling and innovation brokerage.We investigate how these different functions have been performed in the case of the Northern Frisian Woodlands (NFWs) in the Netherlands over a period of 17 years. We have constructed the two-mode affiliation networks of the actors involved in various multidisciplinary research projects and lobbying events. We have analysed these networks using Social Network Analysis and measured the participation rates, relative degrees and the main paths through time with the Search Path Node Pairs algorithm.The results show that the three functions are not evenly distributed over all participants in an innovation network. For each of these three functions there is a small group of people that form a core group of knowledge creators, institutional entrepreneurs and innovation brokers. The analysis of the main paths through these projects and events shows the close interaction between the lobbying and knowledge co-creation functions.The ability to perform more than one innovation function over a longer period of time is extremely rare, but those people who can pull this off are very important for the success of an innovation network. This paper therefore concludes that the organisers of innovation networks should take try to organise their collaboration in such a way that it becomes easier for individuals to perform multiple roles within an innovation network.

► Upscaling innovations need knowledge creation, institutional entrepreneurship and brokerage.
► We studied the distribution of these three functions in a local agricultural innovation network.
► Results show a concentration of functions in three small groups of actors with little overlap.
► Organisational affiliation strongly influences the capacity of a person to perform a function.
► Organisers of innovation networks should make it easier for individuals to perform multiple roles.