Measuring Intellectual Capital in the University Sector Using a Fuzzy Logic Expert System
Knowledge Management Research and Practice, Adavanced Online Publication (AOP), 10 December 2012. doi:10.1057/kmrp.2012.53
25 Pages Posted: 12 Dec 2012
Date Written: 2012
The main aim of this study is to find a method to measure the intellectual capital (IC) of an organization which is able to combine management and measurement views, to reflect the newest concepts regarding IC, and to take into consideration the “vague” interactions between IC categories. We posit the idea that a Fuzzy Expert System (FES) model can address these issues, since it takes account of the qualitative nature of most IC indicators and the different IC subcategories. The main advantage of an IC score developed through a FES model is to provide a reliable IC index. The model presented in this article applied to data derived from the Austrian universities’ IC reports is a pilot model, sufficiently flexible for individual adaptations and adjustments. The main limitation of the study is that further tests can be carried out only in the presence of available and comparable IC data which are currently not available.
Pre-print (i.e. pre-refereeing) version of the article published in Knowledge Management and Practice, Advance Online Publication, December 2012 Beyond the journal formatting, please note that there could be major changes from this document to the final published version
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Keywords: intellectual capital, Austrian universities, fuzzy logic, fuzzy expert system, measurement
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