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Knowledge Management as a Domain, System Dynamics as a Methodology

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dc.rights.license CC BY eng
dc.contributor.author Zanker, Marek cze
dc.contributor.author Bureš, Vladimír cze
dc.date.accessioned 2025-12-05T11:20:06Z
dc.date.available 2025-12-05T11:20:06Z
dc.date.issued 2022 eng
dc.identifier.issn 2079-8954 eng
dc.identifier.uri http://hdl.handle.net/20.500.12603/1560
dc.description.abstract For decades, system dynamics has been utilised as a framework for evaluating and interpreting various types of systems with varying degrees of complexity and knowledge demands. Knowledge management is strongly related to system dynamics on a thematic level. We did a thorough review to identify potential applications and analysed system dynamics and knowledge management domains. The systematic review followed the PRISMA method. We identified two major groups and one subgroup of the combination of system dynamics and knowledge management after examining and categorising 45 papers. Articles were searched for on Web of Science, Scopus, and LENS. We then concentrated on the categorisation of articles by theme. We discovered that system dynamics models were used as a component of a decision support tool or a knowledge management system in some instances, or the integration of knowledge management processes into specific systems. This study contributes to the growth of system dynamics as a methodology capable of generating novel ideas, highlighting limitations, and providing analogies for future research in a variety of academic areas. eng
dc.format p. "Article Number: 82" eng
dc.language.iso eng eng
dc.publisher MDPI-Molecular diversity preservation international eng
dc.relation.ispartof Systems, volume 10, issue: 3 eng
dc.subject system dynamics eng
dc.subject system dynamics modelling eng
dc.subject knowledge management eng
dc.subject knowledge management processes eng
dc.subject knowledge management systems eng
dc.subject systematic review eng
dc.subject PRISMA eng
dc.title Knowledge Management as a Domain, System Dynamics as a Methodology eng
dc.type article eng
dc.identifier.obd 43879085 eng
dc.identifier.doi 10.3390/systems10030082 eng
dc.publicationstatus postprint eng
dc.peerreviewed yes eng
dc.source.url https://www.mdpi.com/2079-8954/10/3/82 cze
dc.relation.publisherversion https://www.mdpi.com/2079-8954/10/3/82 eng
dc.rights.access Open Access eng


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