Various researchers and policy analysts have made empirical studies of innovation systems in order to understand their current structure and trace their dynamics. However, policy makers often experience difficulties in extracting practical guidelines from studies of this kind. In this paper, we operationalize our previous work on a functional approach to analyzing innovation system dynamics into a practical scheme of analysis for policy makers. The scheme is based on previous literature and our own experience in developing and applying functional thinking.

Farmers and businesses need to adapt constantly if they are to survive and compete in the rapidly evolving environment associated with the contemporary agricultural sector. Rethinking agricultural research as part of a dynamic system of innovation could help to design ways of creating and sustaining conditions that will support the process of adaptation and innovation. This approach involves developing the working styles and practices of individuals and organizations and the incentives, support structures and policy environments that encourage innovation.

In Bangladesh, strengthening agricultural innovation calls for facilitation of interactive communication and a wide range of mediation tasks within (and between) stakeholders operating in different social spheres. This paper examines how a public-sector agricultural extension agency has attempted to change its roles in implementing a major agricultural extension project in order to strengthen agricultural innovation.

From 4 June to 1 July 2012, the UN Food and Agriculture Organization (FAO) hosted a moderated email conference on "Ensuring the full participation of family farmers in agricultural innovation systems: Key issues and case studies". It was a highly successful global dialogue, with a very stimulating discussion. About 560 people subscribed to the conference, of whom 114 people (20% of the total), from nearly 50 different countries, wrote at least one of the 242 messages that were posted.

In order to facilitate improved returns to research and development in African agriculture, the innovation systems approach which engenders the involvement of multiple stakeholders in its innovation pathway, has been proposed. Despite the potential of this approach, the understanding of its implementation and particularly of the process of setting up its multi-stakeholder platform is still largely lacking. Yet, this platform is critical to the success and sustainability of the operations of the platform.

This paper examines how the different institutional innovations arising from various permutations of linkages and interactions of ARD organizations (national, international advanced agricultural research centres and universities) influenced the different outcomes in addressing identified ARD problems.

This book documents the proof of the Integrated Agricultural Research for Development (IAR4D) Concept that was developed by the Forum for Agricultural Research for Development in Africa (FARA). The IAR4D concept forms the basis for the Sub Saharan Africa Challenge Program (SSA CP) which is the only CGIAR Challenge Program that was limited to only one region in the world.

This article studies the impact of innovation platforms in Tanga Region, Tanzania, set up by the MilkIT dairy development project to intensify smallholder production through feed enhancement and value chain approaches. The conceptual framework used builds up from three socio-economic theories. The Structure-Conduct-Performance model of markets contributes its elegant assumption, linking the way markets are organized with how market actors behave, which has an influence on market performance.

This is one of lead papers presented at Innovation Asia-Pacific Symposium: 4-7 May, 2009 Kathmandu, Nepal. Cases representing practical examples of what it might mean to use innovation systems interventions and recognize key features are presented. Four cases represent actions facilitating uptake of research outputs including; a crop pest bio-control method; post harvest management of coffee; isolation and commercialization of an indigenous seed variety and; a community based system to forecast armyworm plagues.

This paper looks at the process of agricultural innovation and the contribution agricultural research can make. To be able to analyse the process of agricultural innovation, three dimensions are distinguished: 1) opportunity assessment to identify ‘entry points for change’, defined drawing on the expertise and experience of many actors; 2) experimentation under realistic circumstances, leading to ‘tested and tried promising new practices’; and 3) bringing into routine use for ‘impact at scale’, which invariably incurs in further adaptation to fit a diversity of ‘local realities’.