109

urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891

JUCS - Journal of Universal Computer Science

jucs

0948-695X 0948-6968

Journal of Universal Computer Science

10.3217/jucs-008-05-0516

27878

Research Article

H.3.1 - Content Analysis and Indexing H.3.3 - Information Search and Retrieval I.2.4 - Knowledge Representation Formalisms and Methods

Bibliometric Analysis and Visualisation of Intellectual Capital

Kasztler

Andrea

andrea.kasztler@arcs.ac.at 1 Leitner

Karl-Heinz

ARC Seibersdorf research GmbH, , Austria

ARC Seibersdorf research GmbH Austria

Corresponding author: Andrea Kasztler (andrea.kasztler@arcs.ac.at).

Academic editor:

2002

28 05 2002

8 5 516 525 0820CAE0-9D39-50BC-848F-2CAB4C882F64 6996167

Andrea Kasztler, Karl-Heinz Leitner

This article is freely available under the J.UCS Open Content License.

Abstract

On the basis of an example gained from the perspective of a person reading Intellectual Capital (IC) reports this paper explains the method of BibTechMonTM which is based on an analysis of the co-occurrence of different terms within databases and the algorithm to visualise the results [Kopcsa, A., Schiebel, E. (1998b)]. The application of this method for the IC report is currently a major step in improving the IC reporting system within ARC Seibersdorf research GmbH. In this paper the advantages and potentials of using BibTechMonTM in the context of IC reporting will be demonstrated by means of the 2001 IC report of ARC Seibersdorf research GmbH.