So far, numerous studies have exhibited Silicon Valley and other thriving innovation ecosystems by distinguishing special characteristics in which their survival rely on sustaining activities that convert them to specific regions. These regions provide ready-made grounds for networking to be innovative. Meantime, it is struggling for innovations to be transformed into measurable economic results if players encounter a weak network of collaborative relationships in the ecosystem.
This paper examines the role of postsecondary agricultural education and training (AET) in sub-Saharan Africa in the context of the region’s agricultural innovation systems. Specifically, the paper looks at how AET in sub-Saharan Africa can contribute to agricultural development by strengthening innovative capacity, or the ability of individuals and organisations to introduce new products and processes that are socially or economically relevant, particularly with respect to smallholder farmers who represent the largest group of agricultural producers in the region.
Innovation platforms are groups of individuals or stakeholder representatives with different backgrounds and interests. They come together to diagnose problems, identify opportunities, and find ways to achieve their goals. When innovation platforms are set up by development projects, their processes are usually facilitated by the support organization.
This case study systematises the experiences of the ICCO Alliance in introducing a multi-stakeholder approach in all of its relations with partner organisations and in its development cooperation practice. Using Ken Wilber’s framework of institutional change, the author presents the internal as well as external influences that need to take place at the organisational level, the level of individual staff in these organisation as well as between organisations in the ICCO Alliance for the ICCO Alliance to be able to change.
This editorial illustrates the Knowledge Management for Development Journal Special Issue on "Facilitating multi-stakeholder processes: balancing internal dynamics and institutional politics", explaining that it focuses on the connection between the knowledge function in knowledge management for development (KM4D) and the facilitation function within multi stakeholder processes (MSPs).
Explicitly integrating reflection in the learning process of multi-stakeholder processes (MSPs) increases the likelihood that purposeful change will occur. When reflectivity is made part of learning in MSPs, learning will become clearer and better articulated and it will contribute more strongly to purposeful change in a complex context. MSP facilitators should deliberately include reflective learning sessions and tools in the process design and implementation.
This paper highlights seven key issues which are critical to effective platform facilitation and have not received the attention they deserve: the dynamic and evolving nature of platforms; power dynamics; gender equity; external versus internal facilitation; sustainability of the process; issues of scale; and monitoring and evaluation. These issues and implications for facilitation of innovation platforms are discussed based on examples from the field and in relation to current theories.
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.
The purpose of this study is to explore the factors that drive producers to market their products through Community Support Agriculture (CSA) by using a county-level data set from the US.
Complex problems are being approached through collaborations that cross sectors including businesses, nonprofits, public institutions, and academia. Social Network Analysis (SNA) methods have been adopted to help manage these large collaborations, and it is useful not only for exploring the network dynamics of the collaboration as a whole, but also for exploring where an individual organization lies within the network.