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dc.creatorDouthwaite, B.
dc.creatorHoffecker, E.
dc.date.accessioned2018-09-11T19:41:34Z
dc.date.available2018-09-11T19:41:34Z
dc.date.issued2017
dc.identifier.citationAgricultural Systems, 155: 88-102
dc.identifier.issn0308-521X
dc.identifier.urihttps://hdl.handle.net/20.500.12348/722
dc.description.abstractAgricultural innovation systems (AIS) are increasingly recognized as complex adaptive systems in which interventions cannot be expected to create predictable, linear impacts. Nevertheless, the logic models and theory of change (ToC) used by standard-setting international agricultural research agencies and donors assume that agricultural research will create impact through a predictable linear adoption pathway which largely ignores the complexity dynamics of AIS, and which misses important alternate pathways through which agricultural research can improve system performance and generate sustainable development impact. Despite a growing body of literature calling for more dynamic, flexible and "complexity-aware" approaches to monitoring and evaluation, few concrete examples exist of ToC that takes complexity dynamics within AIS into account, or provide guidance on how such theories could be developed. This paper addresses this gap by presenting an example of how an empirically-grounded, complexity-aware ToC can be developed and what such a model might look like in the context of a particular type of program intervention. Two detailed case studies are presented from an agricultural research program which was explicitly seeking to work in a "complexity-aware" way within aquatic agricultural systems in Zambia and the Philippines.
dc.formatapplication/pdf
dc.languageEn
dc.publisherElsevier
dc.sourceAgricultural Systems
dc.titleTowards a complexity-aware theory of change for participatory research programs working within agricultural innovation systems
dc.typeJournal Article
dcterms.bibliographicCitationDouthwaite, B.; Hoffecker, E. (2017). Towards a complexity-aware theory of change for participatory research programs working within agricultural innovation systems. Agricultural Systems, 155: 88-102
dc.description.versionPeer Review
cg.contributor.crpAAS
cg.coverage.countryPhilippines
cg.coverage.countryZambia
cg.coverage.regionAfrica
cg.coverage.regionAsia
cg.identifier.worldfish4109
cg.subject.agrovocparticipatory research
cg.subject.worldfishparticipatory action research
cg.contributor.affiliationWorldFish
cg.contributor.affiliationD-Lab
cg.identifier.statusLimited access
cg.identifier.ISIindexedISI indexed
cg.contribution.worldfishauthorDouthwaite, B.
cg.description.themeMiscellaneous
dc.identifier.doihttps://doi.org/10.1016/j.agsy.2017.04.002en_US
cg.identifier.urlhttps://doi.org/10.1016/j.agsy.2017.04.002


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