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Appreciative Inquiry and Evaluation – Getting to What Works

Bibliographic Data

ID15247705
AuthorsDavid J MacCoy (First Leadership Limited Toronto, Ontario, corresponding author)
Year2014
Volume29
Issue2
Pages104-127
Publication date2014-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCanadian Journal of Program Evaluation (JOURNAL)
Journal identifiersISSN: 0834-1516 • E-ISSN: 1496-7308
PublisherUniversity of Toronto Press (PUBLISHER • CA)
DOI10.3138/cjpe.29.2.104
OpenAlexW2022560527
LanguageEN
Citations received7
References cited4

Appreciative Inquiry (Ai) is described as the cooperative search for the best in people, their organizations, and the world around them. This article describes how Ai has been applied to evaluation in ways that build upon strengths and generate support for improvements. An initial criticism of AI can be that it focuses only on positivity and fosters an unrealistic view of human experience. Contributing to tension with the AI process is a mistaken belief that negative phenomena must be ignored. However, evaluators using AI have found that its appreciative questions, reframing, and generative features set the stage for sound assessment of worth as well as offer potential for powerful solutions

Appreciative Inquiry · Cognitive reframing · Criticism · Epistemology · Generative grammar · Pedagogy · Political science · Process (computing · Set (abstract data type · Sociology · Appreciative Inquiry and Organizational Change · Computer Science · Education and Critical Thinking Development · Law · Philosophy · Psychology · Reflective Practices in Education · Social Psychology · Artificial Intelligence

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Unique citing works7
Citations per year0.7
Citation span2016 - 2025 (10)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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