This study introduces a framework for managing information flow in innovation systems. An organisation's capacity to receive information, to share it with others and to learn from it is assumed to be the key factor that shapes the flow patterns and, hence, the performance of the innovation system concerned. The framework is applied to characterise the information structure underlying the agricultural innovation system of Azerbaijan and to develop an information strategy for the system to accelerate the information flow.
Au Brésil, la diffusion du modèle de gestion intégrée des ressources en eau varie fortement selon l’environnement socio-territorial. Le Sud présente un dynamisme certain s’appuyant sur des initiatives locales. Les acteurs locaux sont organisés en comité de bassin et développent des actions pour améliorer la gestion des ressources. Dans le Nordeste, la marche vers ces nouveaux modes de gestion paraît difficile tant les inerties sociales et culturelles freinent un partage réel du pouvoir, des ressources et des coûts.
This paper explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.
This article proposes ways to use programme theory for evaluating aspects of programmes that are complicated or complex. It argues that there are useful distinctions to be drawn between aspects that are complicated and those that are complex, and provides examples of programme theory evaluations that have usefully represented and address both of these.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
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.
The universal application of the T&V model of agricultural extension in more than 50 countries is one of agricultural development’s best known failures. The approach worked well in places where it was originally developed, but proved inappropriate almost everywhere else. In this report Rasheed Sulaiman V. and Andy Hall worry that an apparently successful extension innovation piloted in India is set to suffer a similar fate.
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: 1. review the concept of innovation system; 2. appraise the application to agriculture and its relevance and 3. analyze the policy implications for agricultural extension delivery in Nigeria.
In this paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, the authors discuss a conceptual framework that understands innovation processes as the outcome of collaborative networks where information is exchanged and learning processes happen. They argue that technical and economic factors used to analyse drivers and barriers alone are not sufficient to understand innovation processes.
This paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, discusses the innovation network Waardewerken, a Dutch network of rural entrepreneurs pioneering in multifunctional agriculture. which aims to contribute to a professional multifunctional agriculture sector in the Netherlands. For this purpose it cooperates with researchers and policymakers in order to improve policy conditions and to develop knowledge for multifunctional farmers.