This article conceptualizes the diffusion of user innovations from a service ecosystem perspective. With the focus on sustainable innovations, the service ecosystem is evaluated, along with other systemic innovation concepts, as a possible theoretical basis for explaining the first adoption and diffusion of user innovations.
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.
There is a broad consensus that farmers are not simply recipients of promoted techniques: rather, they are also an important source of agricultural innovations. They invent farm tools and equipment, develop new crop varieties, and add value to externally promoted technologies. When scouting, documenting and promoting such farmer-generated innovations, the thorny issue of intellectual property rights (IPRs) often emerges.
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.
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.
Since global issues (i.e. disruption technology and sustainability) attracted the attention of agricultural system researchers and company, innovation system plays a significant role in the development of agricultural downstream supply chain, in order to make agriculture business sustain. Hence, researches in innovation system for agricultural downstream supply chain are very important in dealing with these challenges.
In this perspective paper the authors consider the implications of a digital transformation for agricultural knowledge, a subject which hitherto has received limited attention. They raise critical questions about how digital agriculture will intersect with established modes of knowing and decision-making.