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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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Author details:Gergana VladovaORCiDGND, 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
Title of parent work (German):Informatik 2023
Subtitle (English):advantages for organizations and interorganizational teams
Publisher:Gesellschaft für Informatik e.V. (GI)
Place of publishing:Bonn
Editor(s):Maike Klein, Daniel Krupka, Cornelia Winter, Volker Wohlgemuth
Publication type:Conference Proceeding
Language:English
Year of first publication:2023
Publication year:2023
Release date:2024/04/09
Tag:explicit knowledge; knowledge management; knowledge management system; knowledge transfer; tacit knowledge; teamwork; visual analytics
Number of pages:20
First page:1851
Last Page:1870
Organizational units:Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Betriebswirtschaftslehre
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Peer review:Nicht ermittelbar
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