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 article presents a different dimension of the innovation systems approach, going beyond analysis and shedding light on how these processes can be facilitated in practice. This is based on 20 years' experience with innovations systems. The focus is on the role of facilitation in triggering the changes, as well as in integrating learning and knowledge management (KM) in the innovation process.

This paper was presented at the Farmer First Revisited: 20 Years On conference at IDS, University of Sussex, UK, December 2007. Its focus is the challenge of strengthening agricultural innovation systems. The paper prefaces this discussion by reflecting on an apparent paradox. While agricultural innovation has never been better studied and understood, many of our ideas about innovation have failed to fundamentally change the institutional and policy setting of public and private investment intended to promote innovation for development.

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.

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 explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.