• DocumentCode
    2969982
  • Title

    An Architecture for End-User Driven Business Process Management

  • Author

    Stoitsev, Todor ; Scheidl, Stefan

  • fYear
    2008
  • fDate
    15-19 Sept. 2008
  • Firstpage
    53
  • Lastpage
    62
  • Abstract
    business process management (BPM) systems face the challenge of involving business users, who have a detailed domain expertise but lack advanced technical skills, in modeling and optimization of enterprise processes. The paper presents an architecture which enables people integration in BPM by interconnecting personal task lists and email of different users to a process-enabled middleware and generating weakly-structured process models from ad-hoc task hierarchies. These models can be transformed to formal workflows by implicitly involving business users in formal process modeling. The resulting workflows can be executed on a workflow engine. Through shared repositories between the ad hoc task management system and the workflow engine, the architecture facilitates their interoperability and ensures a seamless integration of user-defined to formal process definitions. The architecture is implemented in the collaborative task manager (CTM) prototype. Through a CTM case study at an industrial company we show how the architecture facilitates people-focused BPM.
  • Keywords
    business process re-engineering; middleware; open systems; business process management systems; collaborative task manager; enterprise processes; formal process modeling; process-enabled middleware; weakly-structured process models; Automation; Collaboration; Collaborative work; Computer architecture; Conference management; Distributed computing; Engines; Knowledge management; Organizing; Process design; Business Process Modeling; End-User Development; Enterprise System Architecture; People-Integration in BPM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference, 2008. EDOC '08. 12th International IEEE
  • Conference_Location
    Munich
  • ISSN
    1541-7719
  • Print_ISBN
    978-0-7695-3373-5
  • Type

    conf

  • DOI
    10.1109/EDOC.2008.20
  • Filename
    4634757