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dc.contributor.authorBlundo‐Canto, G.
dc.contributor.authorDevaux‐Spatarakis, A.
dc.contributor.authorMathé, S.
dc.contributor.authorFaure, G.
dc.contributor.authorCerdan, C.
dc.date.accessioned2021-01-19T14:19:34Z
dc.date.available2021-01-19T14:19:34Z
dc.date.issued2020-10
dc.identifier.citationBlundo‐Canto, G., Devaux‐Spatarakis, A., Mathé, S., Faure, G. & Cerdan, C. (2020). Using a participatory theory driven evaluation approach to identify causal mechanisms in innovation processes. New Directions for Evaluation, 2020(167), 59-72.
dc.identifier.issn1534-875X
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7010
dc.description.abstractApplied agricultural research institutes play different roles in complex agricultural innovation processes, contributing to them with other actors. To foster learning and usable knowledge on how research actions influence such lasting innovation processes, there is a need to identify the causal mechanisms linking these actions and the effects of the changes they enable. A participatory, theory‐driven, ex‐post evaluation method, ImpresS, was developed by the French Agricultural Research Center for International Development (Cirad). ImpresS reconstructs the innovation history and its impact pathway by analyzing behavioral mechanisms linked to stakeholders' individual reactions and responses, and underlying process mechanisms at a group level. ImpresS relies on iterative updating and refinement and on triangulating data sources and collection methods to ensure internal validity and to increase credibility by enabling different actors to express their viewpoints. Drawing on an in‐depth case study, we discuss how ImpresS makes it possible to draw robust conclusions on causal mechanisms while posing challenges linked to the group dynamics and power imbalances commonly encountered in participatory methods. As demonstrated by the case study, ImpresS generates policy‐relevant knowledge for future research projects. It also demonstrates how research actions can help coconstruct lasting dynamics that can survive fluctuating institutional support. Distinguishing between behavioral and process mechanisms benefits knowledge use as it makes it possible to disentangle the conditions that trigger changes in a given context while generating research questions concerning the external validity of mechanism hypotheses.
dc.format.extent59-72
dc.language.isoen
dc.subjectAgricultural Innovation
dc.subjectProcessing
dc.subjectDevelopment
dc.subjectInnovation
dc.titleUsing a participatory theory driven evaluation approach to identify causal mechanisms in innovation processes
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique pour le Développement
cg.contributor.affiliationQuadrant Conseil
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryCote d’Ivoire (Ivory Coast)
cg.coverage.hubCentral Africa Hub
cg.researchthemeSocial Science and Agribusiness
cg.identifier.bibtexciteidBLUNDOCANTO:2020
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgribusiness
cg.iitasubjectCapacity Development
cg.iitasubjectKnowledge Management
cg.iitasubjectLivelihoods
cg.iitasubjectPolicies and Institutions
cg.iitasubjectResearch Method
cg.journalNew Directions for Evaluation
cg.notesPublished online: 06 Oct 2020
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1002/ev.20429
cg.iitaauthor.identifierSyndhia MATHE: 0000-0002-6981-514X
cg.futureupdate.requiredNo


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