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Quality Marks, Metrics, and Measurement Procedures for Business Process Models

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  • Sven Overhage
  • Dominik Birkmeier
  • Sebastian Schlauderer

Abstract

The availability of high-quality business process models is a central prerequisite for a successful process management. Nevertheless, in practice process models exhibit a large number of quality deficits, among them grammatical, content-related, and stylistic defects. In addition, there exist only very few approaches to determine the quality of business process models. In this paper, we present the 3QM-Framework, an analytical approach to systematically determine the quality of business process models. The 3QM-Framework makes three contributions: it provides quality marks, metrics, and measurement procedures to quantify the quality level as elements of a theoretically justified quality model. The applicability of the 3QM-Framework has been empirically evaluated in case studies. The results of a survey that was conducted among experts moreover attest its practical relevance. Copyright Gabler Verlag 2012

Suggested Citation

  • Sven Overhage & Dominik Birkmeier & Sebastian Schlauderer, 2012. "Quality Marks, Metrics, and Measurement Procedures for Business Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(5), pages 229-246, October.
    • Handle: RePEc:spr:binfse:v:4:y:2012:i:5:p:229-246
    DOI: 10.1007/s12599-012-0230-8
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    References listed on IDEAS

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    1. Thomas L. Saaty, 1986. "Axiomatic Foundation of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 32(7), pages 841-855, July.
    2. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    3. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
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    Cited by:

    1. Jan Recker & Jan Mendling, 2016. "The State of the Art of Business Process Management Research as Published in the BPM Conference," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 55-72, February.
    2. Kathrin Figl, 2017. "Comprehension of Procedural Visual Business Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(1), pages 41-67, February.
    3. Paul Glowalla & Ali Sunyaev, 2013. "Process-Driven Data Quality Management Through Integration of Data Quality into Existing Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 433-448, December.
    4. Jan Recker & Jan Mendling, 2016. "The State of the Art of Business Process Management Research as Published in the BPM Conference," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 55-72, February.

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