This paper briefly reviews three conceptual frameworks: namely, the national agricultural research system (NARS), the agricultural knowledge and information system (AKIS) and the agricultural innovation system (AIS) concepts. Next, the paper reviews the definition of ‘innovation’ and proposes that agricultural innovation can occur at four different but interlinked domains. The paper then defines and discusses these domains, and uses evidence from outcomes of the DFID‐RIU experiments in Nigeria to explain how these fit into the four domains, and how all these outcomes qualify as agricultural innovation. It concludes by explaining that the programme needs to recognise the whole gamut of impact in different domains in order to make a compelling case for investments in RIU‐like approaches.
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...
Innovation system approach offers an holistic, multidisciplinary and comprehensive framework for analyzing innovation process, the roles of science and technology actors and their interactions, emphazing on wider stakeholder participation, linkages and institutional context of innovation and processes. This paper was aimed to:...
The paper sets out the general concepts and principles of the Agricultural Innovation Systems approach, and its application to agricultural research and development, particularly in sub-Saharan Africa. It is intended for those interested in applying new approaches to research with...
This review seeks to assess the usefulness of innovation systems approaches in the context of the Integrated Agricultural Research for Development (IAR4D) in guiding research agendas, generating knowledge and use in improving food security and nutrition, reducing poverty and generating...
This guide is mainly for researchers already involved in natural resource management (NRM). It assumes some familiarity with the often complex and chaotic reality of NRM projects, and tries to provide a systematic treatment of all the issues that may...
