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

Business Research. Bd. 5. H. 2. Heidelberg: Springer 2012 S. 221 - 247

Erscheinungsjahr: 2012

ISBN/ISSN: 2198-2627

Publikationstyp: Zeitschriftenaufsatz

Sprache: Englisch

Doi/URN: 10.1007/BF03342739

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Inhaltszusammenfassung


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 s...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.» weiterlesen» einklappen

  • business process compliance checking
  • business process compliance management
  • business process modeling
  • legal requirements
  • regulation

Autoren


Jörg, Becker (Autor)
Eggert, Mathias (Autor)
Sebastian, Schwittay (Autor)

Klassifikation


DFG Fachgebiet:
Wirtschaftswissenschaften

DDC Sachgruppe:
Wirtschaft

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