Social media (SM) such as Twitter and Facebook are new communication tools for rural communities, and SM has enabled the creation of rural social networks. Increased use by farmers of 'mobile digital devices' and better rural access to broadband services have enhanced so that SM is being used to support farming decisions. However, in depth studies on how SM is used for knowledge sharing amongst farmers and the role of rural professionals (e.g. advisors) in this space is an emergent field with limited literature.
Recent interest in inclusive innovation to serve base-of-the-pyramid markets has so far produced relatively little evidence about the role of policy. Drawing on cases from Kenya's mobile phone sector that have successfully scaled innovations to poor consumers, we suggest that policy-making is not only present, but can also have a significant role in shaping and supporting inclusive innovation systems. In these cases, inclusive innovation has been built upon a reinforcing circle of adaptive innovation, dynamic competition, and presence of innovation intermediaries within poor communities.
Innovation is considered as one of the key drivers for a competitive and sustainable agriculture and the European Commission highlights the importance of tailoring innovation support to farmers’ needs, especially in European Rural Development Policy (reg EU 1305/2013). The scientific literature offers a wide panorama of tools and methods for the analysis of innovation in agriculture but the lack of data on the state of innovation in the farms hampers such studies. A possibility to partially overcome this limit is the use of data collected by the Farm Accountancy Data Network (FADN).
In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries.
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.
Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
À l’occasion de l’année internationale des coopératives, le modèle coopératif est-il trop ou pas assez glorifié ? En pointant le rôle important des coopératives pour le développement social, ses valeurs de solidarité et d’autonomie, l’Assemblée générale des Nations unies a décidé de mettre cette forme de mutualisation à l’honneur en 2012. Mais quels critères permettent de classer les coopératives au-dessus d’autres formes associatives ? Et les manières d’élaborer et de concevoir les coopératives sont-elles identiques au Sud et au Nord ?
El objetivo de este trabajo es analizar de manera comparativa los condicionantes (o limitantes) de la adopción de Tecnologías Críticas Comunes (TCC) en maíz y soja en tres provincias del país: La Pampa, San Luis y Chaco con la finalidad de delinear políticas de investigación y extensión prioritarias. Los cultivos fueron seleccionados de acuerdo a las prioridades fijadas por los Centros Regionales de INTA debido a su importancia en cada provincia.
Este informe inicia con un análisis de sector agropecuario hondureño y la revisión sobre el marco legal e institucional que rige al sector agrícola. Luego, se analiza por separado cada uno de los cuatro rubros de producción (café, cacao, ganadería y granos básicos) en cuanto a políticas, leyes e institucionalidad propia en los sectores priorizados por el MAP II (Programa Agroambiental Mesoamericano II).