NeuroKMS: Integrating Neuroscience into Knowledge Management for Assuring Data Quality
Heide T, Shitkova M, Becker J
Research article in edited proceedings (conference) | Peer reviewedAbstract
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.
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Authors from the University of Münster
| Becker, Jörg | Chair of Information Systems and Information Management (IS) |
| Heide, Tobias | Chair of Information Systems and Information Management (IS) |
| Neumann, Maria | Chair of Information Systems and Information Management (IS) |