Agricultural innovation platform dynamics: a conceptual framework to analyze demand-driven research

Syndhia Mathé (), Latifou Idrissou, Bisseleua Hervé, Ann Degrande, Jean-Claude Bidogeza, Christopher Suh and Hélène Rey-Valette
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Syndhia Mathé: UMR Innovation - Innovation et Développement dans l'Agriculture et l'Alimentation - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier
Latifou Idrissou: IITA-Benin - International Institute of Tropical Agriculture - IITA - International Institute of Tropical Agriculture [Nigeria] - CGIAR - Consultative Group on International Agricultural Research [CGIAR]
Bisseleua Hervé: ICRAF - World Agroforestry Center [CGIAR, Kenya] - CGIAR - Consultative Group on International Agricultural Research [CGIAR]
Ann Degrande: ICRAF - World Agroforestry Center [CGIAR, Kenya] - CGIAR - Consultative Group on International Agricultural Research [CGIAR]
Jean-Claude Bidogeza: World Vegetable Center - East and Southeast Asia - WorldVeg - World Vegetable Center
Christopher Suh: IRAD - Institut de Recherche Agricole pour le Développement [Yaoundé]

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Abstract: Innovation platforms (IPs) appear to be one of the most appropriate tools to operationalize research for development. Increasingly, agricultural research initiatives for development set up innovation platforms to facilitate the management and support of innovation processes. Yet, the mechanisms by which they operate are not well understood. This paper seeks to open the "black-box" and proposes a framework to analyze processes that occur in innovation platforms from inception to maturity. Firstly, we use a New Institutional Economics (NIE) based analytical framework for the M&E of IP performance. Secondly, from a review of the literature, we identify three ways through which research could be done within IPs: 1) soft transfer, when research has readily available results that could help solve jointly identified problems; 2) co-creation, when researchers and IP members develop research objectives and protocols together; and 3) community-based research, when IP members set up experiments on their own. We propose that both frameworks should be used to improve the monitoring of IP dynamics.

Date: 2016-07-12
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Published in 12 th European IFSA Symposium, "Social and technological transformation of farming systems:Diverging and converging pathways", Jul 2016, Newport, United Kingdom

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02050529

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