Abstract
One of the core tasks of knowledge management is knowledge assessment. Conducting knowledge assessment within organizations is considerably demanding because it is time and cost intensive and the results are often subjective and not very amenable to validation. In this chapter, we present a new theory-driven approach to knowledge management which simplifies this task considerably: model-based knowledge management. Furthermore, we introduce a new and fully automated text-based technology for the assessment of organizational knowledge. Within this technology new computer linguistic techniques and associative networks are used for knowledge mapping. The results of the technological study and our validation study indicate that our methodology is an efficient time- and cost-saving alternative to common knowledge mapping approaches.
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Notes
- 1.
n depends on the tf-idf weighted matrix.
- 2.
Technological Clusters derived from our methodology.
- 3.
Human Clusters made by the subjects.
- 4.
n denotes the subject number.
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Lachner, A., Pirnay-Dummer, P. (2010). Model-Based Knowledge Mapping. In: Spector, J., Ifenthaler, D., Isaias, P., Kinshuk, Sampson, D. (eds) Learning and Instruction in the Digital Age. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1551-1_5
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