NeuroKMS: Integrating Neuroscience into Knowledge Management for Assuring Data Quality

Heide T, Shitkova M, Becker J


Abstract
Knowledge management is a source of competitive advantage and a crucial element for companies' success. However the knowledge stored in the knowledge management system has to be of high quality in order to be easily interpretable and further applied by the knowledge users. Previous studies have shown that strong emotions in knowledge explication influence the quality of knowledge. In this paper we propose to utilize the methods of neuroscience for ensuring the quality of knowledge within KMS. We present the concept of NeuroKMS, which incorporates psychophysiological measurement tools in the design of a knowledge management system to measure the user's emotion. The paper discusses how the emotion measures can be usedto predictthe quality of knowledge artifacts.



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2014

Conference
Multikonferenz der Wirtschaftsinformatik 2014

Venue
Paderborn

Start page
1965

End page
1977

Pages range
1965-1977

Language
English

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