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Visual analytics for knowledge management

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dc.contributor.authorVladova, Gergana
dc.contributor.authorUllrich, André
dc.contributor.authorSultanow, Eldar
dc.contributor.authorTobolla, Marinho
dc.contributor.authorSebrak, Sebastian
dc.contributor.authorCzarnecki, Christian
dc.contributor.authorBrockmann, Carsten
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:24Z
dc.date.available2023-11-29T14:50:24Z
dc.date.issued2023
dc.description.abstractThe management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.en
dc.identifier.doi10.18420/inf2023_187
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43115
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectknowledge management
dc.subjectvisual analytics
dc.subjectknowledge transfer
dc.subjectteamwork
dc.subjectknowledge management system
dc.subjecttacit knowledge
dc.subjectexplicit knowledge
dc.titleVisual analytics for knowledge managementen
dc.typeText/Conference Paper
gi.citation.endPage1870
gi.citation.publisherPlaceBonn
gi.citation.startPage1851
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleWirtschaft, Management Industrie - (Agiles) Enterprise Architecture Management in Forschung und Praxis

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten