From data-centric business processes to enterprise process frameworks

Jianwen Su, Lijie Wen, Jian Yang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


Conceptual elevation of data in business process modeling was first formulated in 2003. The research community responded to this new idea enthusiastically. In the past decade, there have been numerous research activities concerning the interactions between business processes/activities and data in many aspects of business process management. Many of the advancements have or will have impacted on design/modeling, analysis, implementation of business processes in practice. However, there is still a lack of techniques for developing a suite of 'interrelated' processes realizing a business service. Interrelated processes are a cluster of processes that share data and other resources, are collectively constrained by regulations and policies, influence KPIs as a group. Many current practical applications of business workflow systems are in urgent need for tools and techniques for process clusters. In this paper, we formulate a broad notion of an 'Enterprise Process Framework' (EPF) to address this need and outline several interesting research challenges arising from EPFs.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 21st International Enterprise Distributed Object Computing Conference
Subtitle of host publicationEDOC 2017
EditorsSylvain Hallé, Roger Villemaire, Robert Lagerström
Place of PublicationLos Alamitos, California
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages9
ISBN (Electronic)9781509030453
Publication statusPublished - 30 Oct 2017
Event21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017 - Quebec City, Canada
Duration: 10 Oct 201713 Oct 2017


Conference21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017
CityQuebec City


  • analysis
  • Business process modeling
  • data modeling
  • services
  • workflow

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