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.
Author: | Gergana Vladova, André Ullrich, Eldar Sultanow, Marinho Tobolla, Sebastian Sebrak, Christian Czarnecki, Carsten Brockmann |
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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 |