The process of knowledge brokering in the agricultural sector, where it is generally called agricultural extension, has been studied since the 1950s. While agricultural extension initially employed research push models, it gradually moved towards research pull and collaborative research models. The current agricultural innovation systems perspective goes beyond seeing research as the main input to change and innovation, and recognises that innovation emerges from the complex interactions among multiple actors and is about fostering combined technical, social and institutional change.
This paper captures lessons from recent experiences on using ‘theories of change’ amongst organisations involved in the research–policy interface. The literature in this area highlights much of the complexity inherent in the policymaking process, as well as the challenges around finding meaningful ways to measure research uptake. As a tool, ‘theories of change’ offers much, but the paper argues that the very complexity and dynamism of the research-to-policy process means that any theory of change will be inadequate in this context.
The main purpose of this paper is to take stock of some of the most significant results emanating from The International Development Research Centre (IDRC)‐supported programmes, in recent years in the area of organizational capacity development, and feeding into the consultation process for the formulation of IDRC`s next Corporate Strategy Program Framework (CSPF) for the 2010‐2015 period.
Many capacity development (CD) programs and processes aim at long‐term sustainable change, which depends on seeing many smaller changes in at times almost invisible fields (rules, incentives, behaviours, power, coordination etc.). Yet, most evaluation processes of CD tend to focus on short‐term outputs focused on clearly visible changes.
In this article is presented an emergent capacity development approach that the authors have developed through participatory action research in Peru and Ecuador, which they call ‘systemic theories of change’ (STOC), for organisational capacity development. They argue that capacity development should be understood as systemic learning. The STOC approach promotes reflection about how we as individuals, organisations, and broader social groups and societal configurations, understand how change occurs.
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.
This sourcebook contributes to identifying, designing, and implementing the investments, approaches, and complementary interventions that appear most likely to strengthen Agricultural innovation systems (AIS) and to promote agricultural innovation and equitable growth. It emphasizes the lessons learned, benefits and impacts, implementation issues, and prospects for replicating or expanding successful practices. The information in this sourcebook derives from approaches that have been tested at different scales in different contexts.
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.
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.
The Guidance Note on Operationalization provides a brief recap of the conceptual underpinnings and principles of the TAP Common Framework as well as a more detailed guide to operationalization of the proposed dual pathways approach. It offers also a strategy for monitoring and evaluation as well as a toolbox of select tools that may be useful at the different stages of the CD for AIS cycle.