Formulating the data-flow perspective for business process management

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

  • Sherry X. Sun
  • J. Leon Zhao
  • Jay F. Nunamaker
  • Olivia R. Liu Sheng

Detail(s)

Original languageEnglish
Pages (from-to)374-391
Journal / PublicationInformation Systems Research
Volume17
Issue number4
StatePublished - Dec 2006
Externally publishedYes

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. © 2006 INFORMS.

Research Area(s)

  • Data-flow anomalies, Data-flow specification, Data-flow verification, Dependency analysis, Process data diagram, Workflow modeling

Citation Format(s)

Formulating the data-flow perspective for business process management. / Sun, Sherry X.; Zhao, J. Leon; Nunamaker, Jay F.; Sheng, Olivia R. Liu.

In: Information Systems Research, Vol. 17, No. 4, 12.2006, p. 374-391.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review