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Formulating the Data-Flow Perspective for Business Process Management

Author

Listed:
  • Sherry X. Sun

    (Department of Management Information Systems, University of Arizona, Tucson, Arizona 85721)

  • J. Leon Zhao

    (Department of Management Information Systems, University of Arizona, Tucson, Arizona 85721)

  • Jay F. Nunamaker

    (Department of Management Information Systems, University of Arizona, Tucson, Arizona 85721)

  • Olivia R. Liu Sheng

    (Accounting and Information Systems, University of Utah, Salt Lake City, Utah 84112)

Abstract

Workflow technology has become a standard solution for managing increasingly complex business processes. Successful business process management depends on effective workflow modeling and analysis. One of the important aspects of workflow analysis is the data-flow perspective because, given a syntactically correct process sequence, errors can still occur during workflow execution due to incorrect data-flow specifications. However, there have been only scant treatments of the data-flow perspective in the literature and no formal methodologies are available for systematically discovering data-flow errors in a workflow model. As an indication of this research gap, existing commercial workflow management systems do not provide tools for data-flow analysis at design time. In this paper, we provide a data-flow perspective for detecting data-flow anomalies such as missing data, redundant data, and potential data conflicts. Our data-flow framework includes two basic components: data-flow specification and data-flow analysis; these components add more analytical rigor to business process management.

Suggested Citation

  • Sherry X. Sun & J. Leon Zhao & Jay F. Nunamaker & Olivia R. Liu Sheng, 2006. "Formulating the Data-Flow Perspective for Business Process Management," Information Systems Research, INFORMS, vol. 17(4), pages 374-391, December.
    • Handle: RePEc:inm:orisre:v:17:y:2006:i:4:p:374-391
    DOI: 10.1287/isre.1060.0105
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    References listed on IDEAS

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    1. Amit Basu & Robert W. Blanning, 2000. "A Formal Approach to Workflow Analysis," Information Systems Research, INFORMS, vol. 11(1), pages 17-36, March.
    2. Akhil Kumar & J. Leon Zhao, 1999. "Dynamic Routing and Operational Controls in Workflow Management Systems," Management Science, INFORMS, vol. 45(2), pages 253-272, February.
    3. Edward A. Stohr & J. Leon Zhao, 2001. "Workflow Automation: Overview and Research Issues," Information Systems Frontiers, Springer, vol. 3(3), pages 281-296, September.
    4. G. Wirtz & M. Weske & H. Giese, 2001. "The OCoN Approach to Workflow Modeling in Object-Oriented Systems," Information Systems Frontiers, Springer, vol. 3(3), pages 357-376, September.
    5. Amit Basu & Robert W. Blanning, 1994. "Metagraphs: A Tool for Modeling Decision Support Systems," Management Science, INFORMS, vol. 40(12), pages 1579-1600, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Xue Bai & Ramayya Krishnan & Rema Padman & Harry Jiannan Wang, 2013. "On Risk Management with Information Flows in Business Processes," Information Systems Research, INFORMS, vol. 24(3), pages 731-749, September.
    2. Luning Liu & Jingrui Ju & Yuqiang Feng, 2017. "An extensible framework for collaborative e-governance platform workflow modeling using data flow analysis," Information Technology for Development, Taylor & Francis Journals, vol. 23(3), pages 415-437, July.
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    4. Chang, Hsin Hsin & Wang, I. Chen, 2011. "Enterprise Information Portals in support of business process, design teams and collaborative commerce performance," International Journal of Information Management, Elsevier, vol. 31(2), pages 171-182.
    5. Arava Tsoury & Pnina Soffer & Iris Reinhartz-Berger, 2020. "Data Impact Analysis in Business Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(1), pages 41-60, February.
    6. Xue Bai & Manuel Nunez & Jayant R. Kalagnanam, 2012. "Managing Data Quality Risk in Accounting Information Systems," Information Systems Research, INFORMS, vol. 23(2), pages 453-473, June.
    7. Amit V. Deokar & Jie Tao, 0. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
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    9. Amit V. Deokar & Jie Tao, 2021. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 23(3), pages 753-772, June.

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