TY  - CONF
A1  - Vladova, Gergana
A1  - Ullrich, André
A1  - Sultanow, Eldar
A1  - Tobolla, Marinho
A1  - Sebrak, Sebastian
A1  - Czarnecki, Christian
A1  - Brockmann, Carsten
A2  - Klein, Maike
A2  - Krupka, Daniel
A2  - Winter, Cornelia
A2  - Wohlgemuth, Volker
T1  - Visual analytics for knowledge management
T2  - Informatik 2023
N2  - 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.
KW  - knowledge management
KW  - visual analytics
KW  - knowledge transfer
KW  - teamwork
KW  - knowledge management system
KW  - tacit knowledge
KW  - explicit knowledge
Y1  - 2023
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/63226
SN  - 978-3-88579-731-9
SN  - 1617-5468
SP  - 1851
EP  - 1870
PB  - Gesellschaft für Informatik e.V. (GI)
CY  - Bonn
ER  -