IDEAS home Printed from https://ideas.repec.org/p/rug/rugwps/07-444.html
   My bibliography  Save this paper

Ontology-driven Business Modelling: Improving the Conceptual Representation of the REA Ontology

Author

Listed:
  • F. GAILLY
  • G. POELS

Abstract

Business modelling research is increasingly interested in exploring how domain ontologies can be used as reference models for business models. The Resource Event Agent (REA) ontology is a primary candidate for the ontology-driven modelling of business processes because the REA point of view on business reality is close to the conceptual modelling perspective on business models. In this paper Ontology Engineering principles are employed to restructure REA in order to make it more suitable for ontology-driven business modelling. The redesigned conceptual representation of REA uses a single representation formalism, includes a more complete domain axiomatization (containing definitions of concepts, concept relations and ontological axioms), and is proposed as a meta-model to instantiate valid business models.

Suggested Citation

  • F. Gailly & G. Poels, 2007. "Ontology-driven Business Modelling: Improving the Conceptual Representation of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/444, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:07/444
    as

    Download full text from publisher

    File URL: http://wps-feb.ugent.be/Papers/wp_07_444.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. F. Gailly & G. Poels, 2007. "Towards Ontology-driven Information Systems: Redesign and Formalization of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/445, Ghent University, Faculty of Economics and Business Administration.
    2. Yair Wand & Ron Weber, 2002. "Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda," Information Systems Research, INFORMS, vol. 13(4), pages 363-376, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weigand, Hans & Elsas, Philip, 2012. "Model-based auditing using REA," International Journal of Accounting Information Systems, Elsevier, vol. 13(3), pages 287-310.
    2. F. Gailly & G. Poels, 2007. "Towards Ontology-driven Information Systems: Redesign and Formalization of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/445, Ghent University, Faculty of Economics and Business Administration.
    3. Henry M. Kim & Marek Laskowski, 2018. "Toward an ontology‐driven blockchain design for supply‐chain provenance," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(1), pages 18-27, January.
    4. Enrique BONSON-PONTE & Ioan ANDONE & Adrian LUPASC & Ioana LUPASC, 2010. "The Need to Adapt to New Financial Accounting Technologies Information in the Context of Global Economic Crisis," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 71-78.
    5. Heravi, Bahareh Rahmanzadeh & Lycett, Mark & de Cesare, Sergio, 2014. "Ontology-based standards development: Application of OntoStanD to ebXML business process specification schema," International Journal of Accounting Information Systems, Elsevier, vol. 15(3), pages 275-297.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guan, Jian & Levitan, Alan S. & Kuhn, John R., 2013. "How AIS can progress along with ontology research in IS," International Journal of Accounting Information Systems, Elsevier, vol. 14(1), pages 21-38.
    2. Sohei Ito & Dominik Vymětal & Roman Šperka & Michal Halaška, 2018. "Process mining of a multi-agent business simulator," Computational and Mathematical Organization Theory, Springer, vol. 24(4), pages 500-531, December.
    3. repec:opa:wpaper:0015 is not listed on IDEAS
    4. Heise, David & Strecker, Stefan & Frank, Ulrich, 2014. "ControlML: A domain-specific modeling language in support of assessing internal controls and the internal control system," International Journal of Accounting Information Systems, Elsevier, vol. 15(3), pages 224-245.
    5. Roger Clarke, 2022. "Research opportunities in the regulatory aspects of electronic markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 179-200, March.
    6. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 0. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    7. Peter Fettke, 2009. "Ansätze der Informationsmodellierung und ihre betriebswirtschaftliche Bedeutung: Eine Untersuchung der Modellierungspraxis in Deutschland," Schmalenbach Journal of Business Research, Springer, vol. 61(5), pages 550-580, August.
    8. Palash Bera, 2021. "Interactions between Analysts in Developing Collaborative Conceptual Models," Information Systems Frontiers, Springer, vol. 23(3), pages 561-573, June.
    9. Kazem Haki & Michael Blaschke & Stephan Aier & Robert Winter, 2019. "A Value Co-creation Perspective on Information Systems Analysis and Design," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 487-502, August.
    10. Eric Overby, 2008. "Process Virtualization Theory and the Impact of Information Technology," Organization Science, INFORMS, vol. 19(2), pages 277-291, April.
    11. Jan Mendling & Jan Recker & Hajo A. Reijers & Henrik Leopold, 2019. "An Empirical Review of the Connection Between Model Viewer Characteristics and the Comprehension of Conceptual Process Models," Information Systems Frontiers, Springer, vol. 21(5), pages 1111-1135, October.
    12. Andrew Burton-Jones & Peter N. Meso, 2006. "Conceptualizing Systems for Understanding: An Empirical Test of Decomposition Principles in Object-Oriented Analysis," Information Systems Research, INFORMS, vol. 17(1), pages 38-60, March.
    13. Merete Hvalshagen & Roman Lukyanenko & Binny M. Samuel, 2023. "Empowering Users with Narratives: Examining the Efficacy of Narratives for Understanding Data-Oriented Conceptual Models," Information Systems Research, INFORMS, vol. 34(3), pages 890-909, September.
    14. Roman Lukyanenko & Jeffrey Parsons & Yolanda F. Wiersma, 2014. "The IQ of the Crowd: Understanding and Improving Information Quality in Structured User-Generated Content," Information Systems Research, INFORMS, vol. 25(4), pages 669-689, December.
    15. Michael Blaschke & Uwe Riss & Kazem Haki & Stephan Aier, 2019. "Design principles for digital value co-creation networks: a service-dominant logic perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 443-472, September.
    16. Roman Lukyanenko & Wolfgang Maass & Veda C. Storey, 2022. "Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1993-2020, December.
    17. Palash Bera & Andrew Burton-Jones & Yair Wand, 2014. "Research Note ---How Semantics and Pragmatics Interact in Understanding Conceptual Models," Information Systems Research, INFORMS, vol. 25(2), pages 401-419, June.
    18. Bojana Bajic & Nikola Suzic & Slobodan Moraca & Miladin Stefanović & Milos Jovicic & Aleksandar Rikalovic, 2023. "Edge Computing Data Optimization for Smart Quality Management: Industry 5.0 Perspective," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    19. Pedro Antunes & Nguyen Hoang Thuan & David Johnstone, 2022. "Nature and purpose of visual artifacts in design science research," Information Systems and e-Business Management, Springer, vol. 20(3), pages 515-550, September.
    20. Pflanzl, Nicolas & Bergener, Katrin & Stein, Armin & Vossen, Gottfried, 2014. "Information systems freshmen teaching: Case experience from day one," ERCIS Working Papers 21, University of Münster, European Research Center for Information Systems (ERCIS).
    21. Daniel Szopinski & Thorsten Schoormann & Thomas John & Ralf Knackstedt & Dennis Kundisch, 2020. "Software tools for business model innovation: current state and future challenges," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 469-494, September.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rug:rugwps:07/444. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nathalie Verhaeghe (email available below). General contact details of provider: https://edirc.repec.org/data/ferugbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.