Rosemann, Michael, Green, Peter, Indulska, Marta and Recker, Jan C. ORCID: 0000-0002-2072-5792 (2009). Using ontology for the representational analysis of process modelling techniques. International journal of business process integration and management : IJBPIM, 4 (4). pp. 251-265. Genève: Inderscience Enterprises. ISSN 1741-8771

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Selecting an appropriate business process modelling technique forms an important task within the methodological challenges of a business process management project. While a plethora of available techniques has been developed over the last decades, there is an obvious shortage of well-accepted reference frameworks that can be used to evaluate and compare the capabilities of the different techniques. Academic progress has been made at least in the area of representational analyses that use ontology as a benchmark for such evaluations. This paper reflects on the comprehensive experiences with the application of a model based on the Bunge ontology in this context. A brief overview of the underlying research model characterizes the different steps in such a research project. A comparative summary of previous representational analyses of process modelling techniques over time gives insights into the relative maturity of selected process modelling techniques. Based on these experiences suggestions are made as to where ontology-based representational analyses could be further developed and what limitations are inherent to such analyses.

Item Type: Journal Article
Recker, Jan
URN: urn:nbn:de:hbz:38-88377
DOI: 10.1504/IJBPIM.2009.032282
Journal or Publication Title: International journal of business process integration and management : IJBPIM
Publisher: Inderscience Enterprises
ISSN: 1741-8771
Volume: 4
Number: 4
Subjects: Data processing Computer science
Management and auxiliary services
Uncontrolled Keywords:
Business Process ManagementEnglish
Representational AnalysisEnglish
Business Process ModellingEnglish
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Faculty of Management, Economy and Social Sciences > Cologne Institute for Information Systems (CIIS)
Language: English
Date: 2009
Place of Publication: Genève
Refereed: Yes
Page Range: pp. 251-265


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