Using ontology for the representational analysis of process modelling techniques

Rosemann, Michael, Green, Peter, Indulska, Marta, & Recker, Jan C. (2009) Using ontology for the representational analysis of process modelling techniques. International Journal of Business Process Integration and Management, 4(4), pp. 251-265.

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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.

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19 citations in Scopus
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ID Code: 26433
Item Type: Journal Article
Refereed: Yes
Keywords: Business Process Management, Representational Analysis, Ontology, Business Process Modelling
ISSN: 1741-8763
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Business and Management not elsewhere classified (150399)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2009 Inderscience Publishers.
Deposited On: 23 Jul 2009 01:13
Last Modified: 23 Jun 2017 14:40

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