Developmental evaluation framework for innovation and learning networks

Abstract

PurposeDuring the past decade new types of broader networks that aim to achieve widespread effects in the working life have emerged. These are typically based on an interactive innovation approach, where knowledge is created jointly together with diverse players. At the moment, the challenge is how to evaluate these complex networks and learning processes. This paper seeks to present a developmental evaluation framework for innovation and learning networks.Design/methodology/approachThe evaluation framework is based on a systemic and complementarity view on knowledge sources and innovation activities. The framework integrates three different elements of network: structure, learning processes, and the outcomes for different actors. The basic assumption is that networks with several actors based on an expanded triple helix model (workplaces, R&D infrastructure, and policy makers) and several learning processes enable better innovation potential and broader outcomes. Here criteria for an evaluation framework are created, which are then contested with empiria, in this case learning network projects (n=17) funded by the Finnish Workplace Development Programme.FindingsThe results show that the created evaluation framework offers a useful tool to point out the networks with a best potential to broader outcomes for diverse actors. It can provide a tool for policy makers, but also for involving participants, in order to direct and coordinate innovation and generative learning more effectively. However, there is not, and cannot be, a common and strict pattern for an innovation and learning network, as one of their main goals is to create and experiment with new forms of development cooperation.Originality/valueEvaluation framework is needed in order to direct and increase the validity of innovation and learning networks.