Measuring knowledge assets in companies using computational intelligence

Authors:
Freimut Bodendorf;Manfred Schertler
Affiliations:
University of Erlangen-Nuremberg, Nuremberg, Germany;University of Erlangen-Nuremberg, Nuremberg, Germany
Venue:
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Year:
2007

Citing 2
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Abstract

Measuring knowledge assets of a company is difficult. Most existing approaches either fail to select the right indicators, to facilitate aggregation of indicators, to reveal correlations between indicators or to forecast future indicator values. An approach to overcome these obstacles using Computational Intelligence (CI) is introduced. Different CI techniques are used to enhance two prominent knowledge assessment approaches, the Intellectual Capital Navigator and the Technology Balance.