Networks and organizations need to find ways to be more effective in pursuing their objectives and thus seek to “learn” to be able to respond, innovate and adapt to complex, changing social and environmental conditions, thus bringing about social change. An essential capacity for ARD (Agricultural Research for Development) partnerships is therefore the ability to reflect and learn. Learning is not simply about increasing knowledge and skills or changing attitudes; it is about making sense of complexity to act more effectively.
The CDAIS ‘marketplace’ to promote agricultural innovations in Burkina Faso took place on July 6th 2017 in Ouagadougou. It was a rich event involving more than 80 people who are working directly with, or interested in working with, different partnerships. The marketplace allowed stakeholders in the six selected niches to get to know and develop relationships with suppliers of agricultural support services. It also provided an opportunity for service suppliers and other participants to show their interests in accompanying the niches on their respective journeys…
Le premier Marché des Innovations Agricoles (MIA) au Burkina Faso a eu lieu le 6 juillet 2017 à l’hôtel Laïco, à Ouagadougou. Il s’est tenu à « guichet fermé » : seuls les fournisseurs de service support à l’innovation et les bailleurs pré-identifiés par l’équipe du projet CDAIS comme étant pertinents pour renforcer les capacités des acteurs des Situations d’Innovation Localisées (SIL) ont été invités à y participer.
This manual was produced as a resource for the National Innovation Facilitators (NIFs) across countries of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this manual is to guide the activities organization level as well as coach the national innovation facilitators. It will help them increasing their understanding of the different stages of the coaching process. This guide provides information on the general methodology of engaging, supporting and coaching actors of key national organizations to have the capacities to innovate.
El trabajo muestra cómo transcurre la gestión del conocimiento (GC) en el Sistema de Innovación Agropecuaria Local (SIAL), lo cual constituye un instrumento de trabajo para los gobiernos locales. Se realiza un abordaje teórico de la categoría GC, su llegada a Cuba y las particularidades de su aplicación. Expone los conceptos fundamentales para entender las relaciones entre gestión del conocimiento e innovación para el desarrollo agropecuario local y presenta los resultados de la gestión del conocimiento en el SIAL.
Este artículo inicialmente aborda a la gestión del conocimiento como factor de desarrollo de una sociedad o de una región. Gestionar conocimiento implica generar condiciones para la creación e intercambio de conocimiento, para apoyar estos procesos es necesario articular sistemas organizativos que promuevan la activación de capitales intangibles y endógenos, como el conocimiento.
Unlike in many other countries, in Bulgaria there are no comprehensive analysis of the state and evolution of the system of knowledge sharing, innovation and digitalization in agriculture (AKIS). The goal of this paper is to fill the gap and analyze the state, efficiency and factors of the agricultural knowledge sharing, innovation and digitalization in Bulgaria at current stage of development.
According to the literature on regime transition, niches are sources of innovation that may lead to the transformation of the dominant regime, if processes at other level of the system – the landscape and the mainstream regime - are supportive. A focus on actors involved in the transition process and the analysis of their specific role in knowledge networks can help assessing the robustness of a specific niche and its growth potential. Knowledge systems, and in particular the dynamics of local and expert knowledge, have in fact a key role in innovation models.
Increasing attention is being given to evaluating the impact of advisory services in terms of their effectiveness in providing farmers with knowledge and networks for innovation as well as understanding the factors that influence this effectiveness (Prager et al, 2017). The demand and uptake of advisory services is one factor and Klerkx et al (2017) comment on the variation in farmers’ demand and the influences of variables such as farm size, asset status and education as well as stability or turbulence in the regulatory environment.
The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).