TY  - CHAP
A1  - Grum, Marcus
A1  - Blunk, Oliver
A1  - Rojahn, Marcel
A1  - Fettke, Peter
A1  - Gronau, Norbert
T1  - Research challenges of knowledge modelling and the outline of a research agenda
T2  - Knowledge in digital age : IFKAD 2020
KW  - knowledge management
KW  - process modelling
KW  - research challenges
Y1  - 2020
SN  - 978-88-96687-13-0
SN  - 2280-787X
PB  - The Arts of Business Institute
CY  - Matera, Italy
ER  - 
TY  - CHAP
A1  - Grum, Marcus
A1  - Klippert, Monika
A1  - Albers, Albert
A1  - Gronau, Norbert
A1  - Thim, Christof
T1  - Examining the quality of knowledge transfers
BT  - the draft of an empirical research
T2  - Proceedings of the Design Society
N2  - Already successfully used products or designs, past projects or our own experiences can be the basis for the development of new products. As reference products or existing knowledge, it is reused in the development process and across generations of products. Since further, products are developed in cooperation, the development of new product generations is characterized by knowledge-intensive processes in which information and knowledge are exchanged between different kinds of knowledge carriers. The particular knowledge transfer here describes the identification of knowledge, its transmission from the knowledge carrier to the knowledge receiver, and its application by the knowledge receiver, which includes embodied knowledge of physical products. Initial empirical findings of the quantitative effects regarding the speed of knowledge transfers already have been examined. However, the factors influencing the quality of knowledge transfer to increase the efficiency and effectiveness of knowledge transfer in product development have not yet been examined empirically. Therefore, this paper prepares an experimental setting for the empirical investigation of the quality of knowledge transfers.
KW  - knowledge management
KW  - new product development
KW  - evaluation
Y1  - 2021
U6  - https://doi.org/10.1017/pds.2021.404
SN  - 2732-527X
VL  - 1
SP  - 1431
EP  - 1440
PB  - Cambridge University Press
CY  - Cambridge
ER  - 
TY  - CHAP
A1  - Vladova, Gergana
A1  - Ullrich, André
A1  - Sultanow, Eldar
A1  - Tobolla, Marinho
A1  - Sebrak, Sebastian
A1  - Czarnecki, Christian
A1  - Brockmann, Carsten
ED  - Klein, Maike
ED  - Krupka, Daniel
ED  - Winter, Cornelia
ED  - Wohlgemuth, Volker
T1  - Visual analytics for knowledge management
BT  - advantages for organizations and interorganizational teams
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
SN  - 978-3-88579-731-9
U6  - https://doi.org/10.18420/inf2023_187
SN  - 1617-5468
SP  - 1851
EP  - 1870
PB  - Gesellschaft für Informatik e.V. (GI)
CY  - Bonn
ER  -