This issue of the quarterly journal "Capacity.org" focuses on methods that can help to understand the societal context in which capacity development takes place. One of these methods is systems thinking, in which organisations, sectors and societies are seen as systems composed of elements that interact with each other.
Invasive species such as Ambrosia (an annual weed) pose a biosecurity risk whose management depends on the knowledge, attitudes and practices of many stakeholders. It can therefore be considered a complex policy and risk governance problem. Complex policy problems are characterised by high uncertainty, multiple dimensions, interactions across different spatial and policy levels, and the involvement of a multitude of actors and organisations. This paper provides a conceptual framework for analysing the multi-level and multi-actor dimensions of Ambrosia management.
While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins, and blockchain among others), social science researchers have recently started investigating different aspects of digital agriculture in relation to farm production systems, value chains and food systems. This has led to a burgeoning but scattered social science body of literature.
This research aims to add to the literature new insights about the interaction processes, which are implemented in different interactive extension approaches, by analysing how farmers attending different extension events shape a network of indirect interactions
In light of the discussion on ‘best-fit' in pluralistic advisory systems, this article aims to present and discuss challenges for advisory services in serving various types of farmers when they seek and acquire farm business advice.The empirical basis is data derived from four workshops, five interviews with staff from advisory organizations, and interviews with 11 farmers.Emerging configurations serve different types of farmers,that is, private advisors serve different clients in different ways; these could be considered subsystems within the overall advisory system.
In this article it is analysed the results of applying a co-innovation approach to five research projects in the New Zealand primary sector. The projects varied in depth and breadth of stakeholder engagement, availability of ready-made solutions, and prevalence of interests and conflicts. The projects show how and why co-innovation approaches in some cases contributed to a shared understanding of complex problems. Our results confirm the context-specificity of co-innovation practices
El modelo de Agencias de Gestión de la Innovación para el Desarrollo de Proveedores (AGI-DP) se diseñó e implementó con extensionistas rurales desde el año 2009 y hasta el 2014. Permite llevar a la práctica la selección, capacitación, desarrollo, seguimiento y evaluación de equipos técnicos especializados en extensionismo en red.
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.
This paper analyses intermediary organisations in developing economy agricultural clusters. The paper critically engages with a growing narrative in studies of intermediaries that have stressed the ownership structure of intermediaries as a key driver for enabling knowledge transfer, inter-firm learning and upgrading of small producers in clusters. Two case studies of Latin American clusters are presented and discussed.
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.