One option for practically applying innovation systems thinking involves the establishment of innovation platforms (IPs). Such platforms are designed to bring together a variety of different stakeholders to exchange knowledge and resources and take action to solve common problems. Yet relatively little is known about how IPs operate in practice, particularly how power dynamics influence platform processes.This paper focuses on a research-for-development project in the Ethiopian highlands which established three IPs for improved natural resource management.
The privatization of agricultural research and extension establishments worldwide has led to the development of a market for services designed to support agricultural innovation. However, due to market and systemic failures, both supply side and demand side parties in this market have experienced constraints in effecting transactions and establishing the necessary relationships to engage in demand-driven innovation processes.
This study describes the evolving context and organisational linkages in the agricultural innovation system of Azerbaijan and suggests ways to promote effective organisational ties for the development, distribution and use of new or improved information and knowledge related to agriculture. Graph-theoretic principles and concepts are employed to assess the existing organisational linkages vital for agricultural innovations.
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.
They were once the central element in state-funded research, but now the research bodies need to redefine their role as partners in the innovation process, responding more efficiently to the needs of society and businesses. In agriculture, the concept of innovation was dominated in the past by linear knowledge transfer in the form of new technologies that were essentially generated by public research (research institutes or universities), transferred to the agricultural extension services, and hence to the farmers for adoption.
La extensión rural es un proceso de trabajo y acompañamiento con el productor orientado al desarrollo sostenible de sus capacidades. En México, se han adaptado una serie de modelos de extensión que van desde el norteamericano, implementado a principios de la década de 1980, hasta el modelo de hub o nodo de innovación (plataforma - módulo demostrativo - área de extensión), aplicado desde el 2010 en el marco del Programa MasAgro. El objetivo de este documento es analizar los diversos procesos de extensión en México.
Rural extension is a process of work and accompaniment with the producer aimed to sustainable development of their skills. In Mexico, a series of extension models have been adapted, that goes from the US, implemented in the early 1980’s, to the hub model or innovation node (platform - demonstration module - extension area) applied since 2010 under the MasAgro Program. The aim of this paper is to analyze the various processes of extension in Mexico.
En este artículo, representantes del sector público y privado y de organismos internacionales acordaron estrategias para dar impulso a un nuevo actor con un gran potencial, un proyecto llamado Plan Maestro del Agro de la Región Occidental (PMARO).
Este documento describe la importancia de una comunidad de aprendizaje en el Manejo Forestal Sostenible que, siendo transversal, posiblemente tiene sus especificidades que es necesario explorar y debatir, con el fin de construir un conocimiento colectivo para el mejoramiento de las prácticas de concertación en MFS.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.