While privatization of extension has received considerable attention with respect to implications for public and private good, less consideration has been given to structural and relational implications for knowledge sharing.
The farmer-inventors mostly use tacit knowledge and practical skills to create their inventions with the objective of increasing efficiency as a means to improving family farm viability. Farmer-inventors with entrepreneurial intentions were less inclined to share their ideas freely and described financial and temporal constraints in commercialising their inventions. The Agricultural Knowledge and Innovation System (AKIS) concept was used to frame an analysis of farmer-inventors’ interactions with innovation support organisations from the perspective of the farmers themselves.
Primary Innovation is a five year collaborative initiative demonstrating and evaluating co-innovation, a systemic approach to innovation addressing complex problems, in five ‘innovation projects’ (active case studies) in different agricultural industries. In defining the elements of co-innovation, Primary Innovation has emphasised nine principles which guide activity in the innovation projects.
The CDAIS Communication strategy for 2015-2018 aims to contribute to CDAIS project's core objective of making agricultural innovation systems more efficient and sustainable in meeting the demands of farmers, agribusiness and consumers. For more information on CDAIS, see: https://www.fao.org/in-action/tropical-agriculture-platform/cdais-project...
This tool helps the design of comprehensive capacity development interventions aimed at strengthening mainly functional capacities. The purpose of this tool is to provide an overview of the different options in terms of capacity development modalities that an innovation partnership can consider while developing the action plan.
This tool is designed for reviewing the partnership to assess whether it is achieving the goals of the individual actors or partner organisations. It is essentially a ‘health check’ of the innovation partnership. This tool can offer an opportunity to the partners to reflect on the value of the partnership from their own organization’s perspective. It also helps to assess what-if any- changes would improve the effectiveness of the partnership and to agree as a group to any revisions to the partnership agreement taking into account the findings of the review process.
Ces directives sont produites par la FAO dans le cadre du projet de développement des capacités pour les systèmes d'innovation agricole (CDAIS). L'objectif de ce document est de fournir des directives pratiques pour mettre en œuvre des événements sur le marché afin de renforcer l'innovation agricole. Un marché est un événement organisé pour faciliter l'adéquation de la demande et de l'offre et pour promouvoir l'apprentissage, le partage et l'échange d'informations, de connaissances et d'expériences pratiques sur des sujets spécifiques.
In this paper its argued that when flexibly applied and adapted to capture dynamics typical in systems innovation projects, the Log Frame Approach (LFA) ( and logical frameworks have considerable utility to support evaluation for both learning and accountability, and for identifying and addressing institutional logics, which leads to system innovation.
This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping.
It is adressed in this paper opportunities of Q Methodology for empirical agricultural innovation studies. In the systems perspective on innovation, multi-actor innovation networks are seen as a key strategy to successful innovation. Given the several types of actors involved, the scientific and policy literature points at the need for ‘innovation brokers’ to build capacity for collective innovation and prevent innovation network failures.