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Generalizability and Applicability of Model-Based Business Process Compliance-Checking Approaches – A State-of-the-Art Analysis and Research Roadmap

  • Joerg Becker


    (University of Muenster)

  • Patrick Delfmann


    (University of Muenster)

  • Mathias Eggert


    (University of Muenster)

  • Sebastian Schwittay


    (Deutsche Bank AG)

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    With a steady increase of regulatory requirements for business processes, automation support of compliance management is a field garnering increasing attention in Information Systems research. Several approaches have been developed to support compliance checking of process models. One major challenge for such approaches is their ability to handle different modeling techniques and compliance rules in order to enable widespread adoption and application. Applying a structured literature search strategy, we reflect and discuss compliance-checking approaches in order to provide an insight into their generalizability and evaluation. The results imply that current approaches mainly focus on special modeling techniques and/or a restricted set of types of compliance rules. Most approaches abstain from real-world evaluation which raises the question of their practical applicability. Referring to the search results, we propose a roadmap for further research in model-based business process compliance checking.

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    Article provided by German Academic Association for Business Research in its journal BuR - Business Research.

    Volume (Year): 5 (2012)
    Issue (Month): 2 (November)
    Pages: 221-247

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    Handle: RePEc:vhb:journl:v:5:y:2012:i:2:p:221-247
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    1. Michael J. Ginzberg, 1981. "Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions," Management Science, INFORMS, vol. 27(4), pages 459-478, April.
    2. Hammer, Michael & Champy, James, 1993. "Reengineering the corporation: A manifesto for business revolution," Business Horizons, Elsevier, vol. 36(5), pages 90-91.
    3. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, June.
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