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.
Adoptions of improved technologies and production practices are important drivers of agricultural development in low-income countries like Nepal. Adopting a broad class of such technologies and practices is often critical for meeting the multifaceted goals of efficiency, profitability, environmental sustainability, and climate resilience.
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
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 briefing note sets out, at the start of this collaborative learning journey, the authors understandings of collaborations and capacity development and how these relate to activities within the network. The final section outlines the main elements of our approach to monitoring, evaluation and learning (MEL)
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.