Abstract
The usefulness of classifications for reuse, especially for the selection of reference models is emphasised in the literature. Nevertheless, an empirical classification of reference models using formal cluster analysis methods is still an open issue. In this paper a cluster analysis is applied on the latest and largest freely available reference model catalogue. In the result, based on at last 9 selected variables, three different clusters of reference models could be identified (practitioner reference models, scientific business process reference models and scientific multi-view reference models). Important implications of the result are: a better documentation is generally needed to improve the reusability of reference models and there is a gap between scientific insights (regarding the usefulness of multi-view reference models and regarding the usefulness of concepts for reuse and customisation) and their application as well as tool support in practice.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
BACKHAUS, K., ERICHSON, B., PLINKE, W. and WEIBER, R. (2006): Multivariate Analysemethoden: Eine anwendungsorientierte Einführung. Springer, Berlin, 11th edition.
BECKER, J. and DELFMANN, P. (Eds.) (2004): Referenzmodellierung: Grundlagen, Techniken und domänenbezogene Anwendung. Physica, Heidelberg.
BORTZ, J. and DÖRING, N. (2002): Forschungsmethoden und Evaluation für Human-und Sozialwissenschaftler. Springer, Berlin.
FETTKE, P. and LOOS, P. (2003): Classification of Reference Models: A Methodology and Its Application. Information Systems and e-Business Management, 1,1, 35–53.
FETTKE, P. and LOOS, P. (2004): Referenzmodellierungsforschung-Langfassung eines Aufsatzes. Working Papers of the Research Group Information Systems & Management, No. 16, Johannes Gutenberg-Universität Mainz.
FETTKE, P., LOOS, P. and ZWICKER, J. (2006): Business Process Reference Models: Survey and Classification. In: C. Bussler and A. Haller (Eds.): Business Process Management Workshops: BPM 2005 International Workshops, BPI, BPD, ENEI, BPRM, WSCOBPM, BPS, Nancy, Revised Selected Papers, Springer, Berlin, 469–483.
OPITZ, O. (1980): Numerische Taxonomie. Fischer, Stuttgart.
ROSEMANN, M. and VAN DER AALST, W.M.P. (2006): A Configurable Reference Modelling Language. Information Systems (In Press).
SARSHAR, K., WEBER, M. and LOOS, P. (2006): Einsatz der Informationsmodellierung bei der Einführung betrieblicher Standardsoftware: Eine empirische Untersuchung bei Energieversorgerunternehmen. Wirtschaftsinformatik, 48,2, 120–127.
THOMAS, O. (2006): Das Referenzmodellverständnis in der Wirtschaftsinformatik: Historie, Literaturanalyse und Begriffsexplikation. Veröffentlichungen des Instituts für Wirtschaftsinformatik, No. 187, Universität des Saarlandes.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Braun, R., Esswein, W. (2007). Classification of Reference Models. In: Decker, R., Lenz, H.J. (eds) Advances in Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70981-7_45
Download citation
DOI: https://doi.org/10.1007/978-3-540-70981-7_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70980-0
Online ISBN: 978-3-540-70981-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)