This Module is the third in a series of four that address capacity development competencies in FAO. It is intended to enhance FAO’s practices in designing, developing, delivering and evaluating its activities in support of learning in Member Countries, while ensuring that learning leads to sustainable capacity development.
Early applications of the innovation systems framework to developing-country agriculture suggest opportunities for more intensive and extensive analysis. There is ample scope for empirical studies to make greater use of the theoretical content available in the literature, and to employ more diverse methodologies, both qualitative and quantitative. Further, there is room to improve the relevance of empirical studies to the analysis of public policies that support science, technology, and innovation, as well as to policies that promote poverty reduction and economic growth.
This paper compares lessons learned from nine studies that explored institutional determinants of innovation towards sustainable intensification of West African agriculture. The studies investigated issues relating to crop, animal, and resources management in Benin, Ghana, and Mali.The studies showed that political ambitions to foster institutional change were often high (restoring the Beninese cotton sector and protecting Ghanaian farmers against fluctuating cocoa prices) and that the institutional change achieved was often remarkable.
This article describes a holistic approach to organisational development that promotes learning and its integration into everyday work practice. It presents the approach and how it leads to genuine organisational transformation, increased organisational efficiency, and resilience during change. When an organisation is both willing and able to engage with a holistic approach, the results are significantly better than any that external one-off interventions or standalone training programmes can produce.
Innovation platforms are groups of individuals or stakeholder representatives with different backgrounds and interests. They come together to diagnose problems, identify opportunities, and find ways to achieve their goals. When innovation platforms are set up by development projects, their processes are usually facilitated by the support organization.
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.
This guide is organized into six chapters with a summary of key steps at the end of each chapter which can be considered as main highlights. Chapter one gives an introduction and an overview of the sequence of the main agricultural research and extension approaches and their shortcomings and hence the reason for the new innovation systems approaches. Chapter two deals with an overview of the InP process covering underlying values and principles, design and processes.
Inclusive innovation is the means by which new goods and services are developed for and/or by the billions living on lowest incomes. Although a topic of increasing interest, it has been relatively under-researched and under-conceptualised to date. This article studies arguably the most successful new technology to reach low-income groups: the mobile phone, focusing specifically on its diffusion in Kenya. Systems of innovation are shown to be an appropriate frame for conceptualisation of inclusive innovation.
Analysis of the role of Global Value Chains (GVC) in accessing knowledge and enhancing learning and innovation. Global Value Chains, Innovation Systems, Governance, Foreign Direct Investment, Learning, Upgrading, Productivity. Three main conclusions emerge from the analytical framework and evidence presented in this paper.
This paper traces the evolution of the innovation systems framework within the agricultural sector in Sub-Saharan Africa, and presents a conceptual framework for agricultural innovation systems. The difference between innovation ecology/ecosystems and intervention-based innovations systems is highlighted, given that these two concepts are used at different levels in promoting and sustaining agricultural innovations.