This book contains a collection of papers that discuss the experience of an Agricultural Research for Development (AR4D) capacity building program in Papua New Guinea (PNG). The program was the AusAID-funded Agricultural Research and Development Support Facility (ARDSF), which ran for fi ve years from 2007 to 2012, and which sought to improve the delivery of services by agricultural research organisations to smallholder farmers.
This paper examines the role of innovation brokers in stimulating innovation system interaction and innovation capacity building, and illustrates this by taking the case of Dutch agriculture as an example. Subsequently, it reflects upon the potential role of innovation brokers in developing countries’ agriculture. It concludes that innovation brokerage roles are likely to become relevant in emerging economies and that public or donor investment in innovation brokerage may be needed to overcome inherent tensions regarding the neutrality and funding of such players in the innovation system.
This paper presents findings of an explorative case study that looked at 22 organisations identified as fulfilling an intermediary role in the Kenyan agricultural sector. The results show that these organisations fulfill functions that are not limited to distribution of knowledge and putting it into use. The functions also include fostering integration and interaction among the diverse actors engaged in innovation networks and working on technological, organisational and institutional innovation.
The question of how agricultural research can best be used for developmental purposes is a topic of some debate in developmental circles. The idea that this is simply a question of better transfer of ideas from research to farmers has been largely discredited. Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles in order to find how research is actually put into use.
The emergence of a globalised knowledge economy, and the contemporary views of innovation capacity that this trend enables and informs, provides a new context in which development assistance to agricultural research and development needs to be considered. The main argument in this paper, which focuses on The Netherlands, is that development assistance should use this emerging scenario to identify niches where inputs can add value to the R&D investments of others, particularly in activities that help wire up innovation systems, linking R&D to other activities and actors in society.
This paper was prepared to present at the Farmer First Revisited: 20 Years On conference at the Institute of Development Studies, 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.
To cope and compete in this rapidly-changing world, organisations need to access and apply new knowledge. While explicit knowledge is important, what is often critical is an organisation’s ability to create, access, share and apply the tacit or un-codified knowledge that exists among its members, its network and the wider innovation system of which it is a part. This discussion paper explores the role of tacit knowledge in livestock sector innovation capacity though the case of Visakha Dairy, one of the most progressive producer-owned milk marketing companies in India.
This paper aims to map the experience of the RIU Asia projects and draw out the main innovation management tactics being observed while laying the groundwork for further research on this topic. It provides a framework to help analyse the sorts of innovation management tasks that are becoming important. This framework distinguishes four elements of innovation management: (i) Functions (ii) Actions (iii) Tools and (iv) Organisational Format.
This paper explores the use of complex adaptive systems theory in development policy analysis using a case study drawn from recent events in Uganda. It documents the changes that took place in the farming system in Soroti district during an outbreak of African cassava mosaic virus disease (ACMVD) and the subsequent decline in cassava production — the main staple food in the area. Resultant adaptation impacts are analysed across cropping, biological, economic and social systems each of which operate as an interlinked sub-system.
This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.