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    Social network analysis of multi-stakeholder platforms in agricultural research for development: opportunities and constraints for innovation and scaling

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    U17ArtHermansSocialInthomNodev.pdf (1.695Mb)
    Date
    2017-02-06
    Author
    Hermans, Frans
    Sartas, Murat
    Schagen, B. van
    Asten, Piet J.A. van
    Schut, Marc
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Multi-stakeholder platforms (MSPs) are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their ‘capacity to innovate’ and contribute to the ‘scaling of innovations’. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC). In order to do this, we apply Social Network Analysis and Exponential Random Graph Modelling (ERGM) to investigate the structural properties of the collaborative, knowledge exchange and influence networks of these MSPs and compared them against value propositions derived from the innovation network literature. Results demonstrate a number of mismatches between collaboration, knowledge exchange and influence networks for effective innovation and scaling processes in all three countries: NGOs and private sector are respectively over- and under-represented in the MSP networks. Linkages between local and higher levels are weak, and influential organisations (e.g., high-level government actors) are often not part of the MSP or are not actively linked to by other organisations. Organisations with a central position in the knowledge network are more sought out for collaboration. The scaling of innovations is primarily between the same type of organisations across different administrative levels, but not between different types of organisations. The results illustrate the potential of Social Network Analysis and ERGMs to identify the strengths and limitations of MSPs in terms of achieving development impacts.
    https://dx.doi.org/10.1371/journal.pone.0169634
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/1535
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1371/journal.pone.0169634
    IITA Subjects
    Impact Assessment
    Agrovoc Terms
    Agricultural Research; Multi-Stakeholder Platforms; Social Network Analysis; Agricultural Innovation System; Collaboration
    Regions
    Central Africa
    Countries
    Burundi; Congo, Dr; Rwanda
    Journals
    PloS ONE
    Collections
    • Journal and Journal Articles4835
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