Networked by design: can policy constraints support the development of capabilities for collaborative innovation?

While there has been some recent interest in the behavioural effects of policies in support of innovation networks, this research field is still relatively new. In particular, an important but under-researched question for policy design is “what kind of networks” should be supported, if the objective of the policy is not just to fund successful innovation projects, but also to stimulate behavioural changes in the participants, such as increasing their ability to engage in collaborative innovation. By studying the case of the innovation policy programmes implemented by the regional government of Tuscany, in Italy, between 2002 and 2008, we assess whether the imposition of constraints on the design of innovation networks has enhanced the participants’ collaborative innovation capabilities, and we draw some general implications for policy

Networked by design: can policy requirements influence organisations' networking behaviour?

An important, but under-researched, question in relation to policies funding networks of innovators is: what kind of innovation networks should be supported, if the policy objective is not just to sponsor successful innovation projects, but also to encourage the participants to form networks with desirable characteristics? Focusing on a set of policy programmes implemented by the regional government of Tuscany, in Italy, between 2002 and 2008, aimed at funding networks of collaborating organisations, we investigate whether the imposition of requirements on the composition of the networks that would be eligible for funding – in particular, the demand that networks should comply with minimum size and heterogeneity thresholds – influenced the participants' networking behaviour in the context of successive policy interventions. Our results show that these requirements immediately affected the size and composition of the project networks that applied for funding, although not always in the intended direction. However, these effects did not extend to the successive periods, when those requirements were no longer in force. This suggests that the imposition of policy requirements, per se, is unlikely to induce persistent changes in organizations' networking behaviour. Other approaches such as implementing outreach actions in order to encourage new organisations to participate in existing innovation networks and to form new ones, and additional measures designed to foster learning opportunities for the participants, might be more effective tools to influence the networking behaviour of participating organisations

The emergence of intermediary organizations: a network-based approach to the design of innovation policies

Book synopsis: Though its roots in the natural sciences go back to the early 20th century, complexity theory as a scientific framework has developed most rapidly since the 1970s. Increasingly, complexity theory has been integrated into the social sciences, and this groundbreaking Handbook on Complexity and Public Policy has brought together top thinkers in complexity and policy from around the world. With contributions from Europe, North America, Brazil and China this comprehensive Handbook splits the topic into three cohesive parts: Theory and Tools, Methods and Modeling, and Application

A tale of persistent network additionality, with evidence from a regional policy

Adopting a counterfactual approach to the evaluation of a regional R&D; collaboration policy, carried out in Tuscany (Italy), we investigate different types of persistent network additionality, namely persistence effect, breadth effect, composition effect, and depth effect

Innovation intermediaries and performance-based incentives: a case study of regional innovation poles

A growing number of innovation policies rely on publicly funded innovation intermediaries to provide knowledge-intensive services to firms, particularly small and medium-sized ones. The performance of innovation intermediaries is often assessed using indicators that need to be closely aligned with policy objectives to be effective. However, this alignment is difficult to achieve and is often overlooked in practice. We analyse the relationship between performance indicators and the behaviour of intermediaries by examining a case study of innovation intermediaries funded with public resources in Tuscany (Italy). The intermediaries implemented actions that allowed them to achieve their performance targets rapidly. However, due to a misalignment between indicators and policy objectives, these actions were not entirely consistent with the latter. After reviewing the literature on this key issue, we build on our findings to suggest how to design performance indicators that can induce intermediaries to more effectively support the achievement of policy objectives

Multilayer Network Analysis of Innovation Intermediaries' Activities

Policymakers wishing to enhance innovation processes in small and medium-sized enterprises increasingly channel their interventions through innovation intermediaries. However, limited empirical research exists regarding the activities and performance of intermediaries, with most contributions taking a qualitative approach and focusing on the role of intermediaries as brokers. In this paper, we analyse the extent to which innovation intermediaries, through their engagement in different activities, support the creation of communities of other agents. We use multilayer network analysis techniques to simultaneously represent the many types of interactions promoted by intermediaries. Furthermore, by originally applying the Infomap algorithm to our multilayer network, we assess the contribution of the agents involved in different activities promoted by intermediaries, and we identify the emerging multilayer communities and the intercohesive agents that span across several communities. Our analysis highlights the potential and the critical features of multilayer analysis for policy design and evaluation

The network effects of regional R&D collaboration policy

Adopting a counterfactual approach to the evaluation of an R&D collaboration policy, carried out on a regional scale, we investigate different types of persistent network effects, namely persistence, breadth, composition, and intensification. Our findings reveal that the R&D collaboration policy was able to generate a persistent change in the networking behaviour of participating firms (persistence effect), stimulating in particular collaborations with universities. Network effects were greater for firms that, prior to the policy intervention, were already accustomed to collaborating, than for more stand-alone firms. With respect to the former firms, we also find a composition effect, which implies a change in the type of partners in innovation-related activities