Systemic Reflections on Knowledge Transfer Comment on "Sustaining Knowledge Translation Practices: A Critical Interpretive Synthesis".

Complex Adaptive Organisations Knowledge Transfer Knowledge Translation Organisational Learning Philosophy of Science Systems Thinking

Journal

International journal of health policy and management
ISSN: 2322-5939
Titre abrégé: Int J Health Policy Manag
Pays: Iran
ID NLM: 101619905

Informations de publication

Date de publication:
2023
Historique:
received: 20 07 2022
accepted: 07 09 2022
medline: 23 10 2023
pubmed: 17 10 2022
entrez: 16 10 2022
Statut: ppublish

Résumé

The systemic failure of organisational learning should not come as a surprise - after all every system delivers exactly what it is designed for. Knowledge management/transfer is a property of the organisational system rather than a particular technique. Hence, knowledge management/transfer is about the contextual framing in which learning focused on understanding can occur. Looking through a system lens any research field can be defined as a complex adaptive organisation, and its culture determines if and how learning and knowledge transfer (or shared learning) can occur. Creating and maintain a learning culture requires leadership that perpetuates continuous dialogues to achieve tacit and explicit knowledge exchange.

Identifiants

pubmed: 36243949
pii: 7559
doi: 10.34172/ijhpm.2022.7559
pmc: PMC10125089
doi:
pii:

Types de publication

Journal Article Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

7559

Commentaires et corrections

Type : CommentOn

Informations de copyright

© 2023 The Author(s); Published by Kerman University of Medical Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Auteurs

Joachim P Sturmberg (JP)

College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia.
International Society for Systems and Complexity Sciences for Health (ISSCSH), Waitsfield, VT, USA.

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Classifications MeSH