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Visual analytics for knowledge management

  • The 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.

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Metadaten
Author:Gergana Vladova, André Ullrich, Eldar Sultanow, Marinho Tobolla, Sebastian Sebrak, Christian Czarnecki, Carsten Brockmann
DOI:https://doi.org/10.18420/inf2023_187
ISBN:978-3-88579-731-9
ISSN:1617-5468
Parent Title (English):INFORMATIK 2023 - Designing Futures: Zukünfte gestalten
Publisher:GI - Gesellschaft für Informatik
Place of publication:Bonn
Document Type:Conference Proceeding
Language:English
Year of Completion:2023
Date of the Publication (Server):2024/07/11
First Page:1851
Last Page:1870
Note:
INFORMATIK 2023, 26. - 29. September 2023, Berlin
Link:https://doi.org/10.18420/inf2023_187
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
collections:Verlag / GI - Gesellschaft für Informatik