The purpose of this paper is to re-examine the role that benchmarking can play in rural and agricultural innovations. Although generally known as 'traditional sector', rural activities are far from static but rather driven by old and new challenges pleading for innovative responses. Despite the broad range of insights from the burgeoning literature on innovation systems during the last decade, most benchmarking thinking and practice still remains highly science-based and centred in promoting public R&D, especially in developing countries.

The turn of agrarian sciences and agricultural extension from reductionist and transfer of technology, respectively, towards systemic approaches has transformed agricultural/rural development thinking in the last decades. Nevertheless, the emergence of Agricultural Innovation Systems (AIS) has to confront a number of gaps among which the expert – lay knowledge gap is of major importance. This paper aims at exploring such a gap as well as obstacles to participatory development from a critical realist point of view.

The role of civil society in influencing public opinion towards more democratic and developmental approaches is now well-recognised in diverse fields such as health, education, livelihoods, issues relating to disadvantaged social groups and the environment. Yet, science and technology in India is predominantly seen as the preserve of the state, and more recently the market. In the linear model of innovation, civil society is seen at best as having a role in extension or the delivery of technology produced elsewhere.

This report discusses general innovation issues and how they are affecting economic growth. It emphasizes how the advances in ICT, biotechnology and other fields of science are changing the innovation landscape and what are the implications for CD.

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.

The Andhra Pradesh sorghum coalition illustrates the valued added by working in coalition. By combining different perspectives to give rise to new, synthesised ideas, the member organisations worked at a faster pace and achieved their objectives more successfully and sustainably than they could have done if working separately. The methodology of their research was designed collaboratively. As a result, scientists carried out repeat experiments on poultry, at the request of poultry farmers and feed manufacturers, which greatly increased their confidence in the evidence.

This volume is devided into three parts. The first part describes on-going
processes of change within, or aside, the socio-technical regime that we have
inherited from the modernisation and industrialisation process of agriculture,
which took part after the second world-war. The focus in this part is on studies
dealing with the issue of agro-ecological initiatives born in niches of organic
movement, which are questioning the mainstream regime of industrialised
agriculture.

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 farmers, NGOs and the private sector that lead to developmental outcomes.

The book documents a diversity of approaches for and results from the development of innovation processes (endorsing the definition proposed by FARA) through a review of twelve agricultural platforms in sub-Saharan Africa. These cases are far from exhaustive but nevertheless bring up a wealth of experiences. The authors do not pretend to present a model or template for the perfect innovation platform. To the contrary – they do not believe this is possible.

The increasing complexity of technology development and adoption is rapidly changing the effectiveness of scientific and technological policies. Complex technologies are developed and disseminated by networks of agents. The impact of these networks depends on the assets they command, their learning routines, the socio-economic environment in which they operate and their history.