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Exploring the Hidden Barriers in Knowledge Translation

A Case Study Within an Academic Community

Bibliographic Data

ID4685626
AuthorsGill Harvey (0000-0003-0937-7819, University of Adelaide, Adelaide, South Australia, Australia), Rhianon J Marshall (University of Adelaide, Adelaide, South Australia, Australia), Zoe Jordan (0000-0001-5206-3247, University of Adelaide, Adelaide, South Australia, Australia), Alison L Kitson (University of Adelaide, Adelaide, South Australia, Australia, corresponding author)
Year2015
Volume25
Issue11
Pages1506-1517
Publication date2015-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQualitative Health Research (JOURNAL)
Journal identifiersISSN: 1049-7323 • E-ISSN: 1552-7557
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1049732315580300
PMID25847856
OpenAlexW2166313888
LanguageEN
Citations received11
References cited20

Debates about knowledge translation (KT) typically focus on the research-practice gap, which appears to be premised on the assumption that academics are a homogeneous collective, sharing a common view. We argue that a number of hidden barriers need to be addressed related to the understanding, interpretation, ability, and commitment to translate knowledge within academic communities. We explore this by presenting a qualitative case study in a health sciences faculty. Applying organizational and management theory, we discuss different types of boundaries and the resultant barriers generated, ranging from diversity in understanding and perceptions of KT to varying motivations and incentives to engage in translational activity. We illustrate how we are using the empirical findings to inform the development of a KT strategy that targets the identified barriers. Investing in this internal KT-focused activity is an important step to maximize the potential of future collaborations between producers and users of research in health care

Knowledge management · Knowledge translation · Computer Science · Knowledge Management and Sharing · Medicine · Online Learning and Analytics · Psychology · Semantic Web and Ontologies

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Unique citing works11
Citations per year1.57
Citation span2019 - 2025 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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