How do systemic intermediaries obtain legitimate roles for themselves in innovation systems and transition processes? This is still an understudied question in the study of systemic intermediaries. This study started from the observation that roles, or positions, are not given, but emerge in interactions as a negotiated set of rights and obligations.
The concept of innovation ecosystems has become popular during the last 15 years, leading to a debate regarding its relevance and conceptual rigor, not the least in this journal. The purpose of this article is to review received definitions of innovation ecosystems and related concepts and to propose a synthesized definition of an innovation ecosystem.
The European Union (EU) promotes collaboration across functions and borders in its funded innovation projects, which are seen as complex collaboration to co-create knowledge. This requires the engagement of multiple stakeholders throughout the duration of the project. To probe complexity in EU-funded innovation projects the research question is: How does complexity affect the co-creation of knowledge in innovation projects, according to project participants?
Rather than merely supporting R&D and strengthening innovation systems, the focus of innovation policy is currently shifting towards addressing societal challenges by transforming socio-economic systems. A particular trend within the emerging era of transformative innovation policy is the pursuit of challenge-based innovation missions, such as achieving a 50 % circular economy by 2030. By formulating clear and ambitious societal goals, policy makers are aiming to steer the directionality and adoption of innovation.
So far, numerous studies have exhibited Silicon Valley and other thriving innovation ecosystems by distinguishing special characteristics in which their survival rely on sustaining activities that convert them to specific regions. These regions provide ready-made grounds for networking to be innovative. Meantime, it is struggling for innovations to be transformed into measurable economic results if players encounter a weak network of collaborative relationships in the ecosystem.
This special issue contains contributions from 42 authors representing 21 organizations and institutes around the world. Overall, the publication presents a number of innovations related to the key elements of climate risk management and resilience building in agriculture. The approaches, tools and methods are illustrated with case studies and examples from different parts of the world. While the innovations presented are not without certain limitations, any such limitations are identified and discussed, and recommendations are made for future research.
Agricultural research and extension systems are central to unlock the potential of agricultural innovation and achieve the Sustainable Development Goals. Public agricultural research, extension and advisory services are essential for increasing productivity and promoting sustainable agricultural growth and alleviating poverty.
Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
The innovation systems (IS) approach—developed by Richard Nelson, Christopher Freeman and Bengt-Ake Lundvall, amongst others—has become perhaps the dominant approach in the academic literature for the study of innovation. It has also exerted considerable influence on policy. This paper examines both the theory underpinning the IS approach, which bears considerable affinities with Austrian economics, and also its policy implications.
Grand societal challenges, such as global warming, can only be adequately dealt with through wide-ranging changes in technology, production and consumption, and ways of life, that is, through innovation. Furthermore, change will involve a variety of sectors or parts of the economy and society, and these change processes must be sufficiently consistent in order to achieve the desired results. This poses huge challenges for policy-making. This paper focus on implications for the governance of innovation policy, i.e., policies influencing a country’s innovation performance.