• DocumentCode
    1970467
  • Title

    An Organization Model based on Party Pattern to Support Dynamic Change for Role-based Workflow Application

  • Author

    Bai, Shuren ; Du, Peng

  • Author_Institution
    Software Coll., Hunan Univ.
  • fYear
    2006
  • fDate
    15-16 June 2006
  • Firstpage
    337
  • Lastpage
    342
  • Abstract
    An organization model describes the relationships between personnel and the structure of the organization. While flexible, dynamic changes in organizations is also an important, yet unresolved problem which appears in many domains, but very few approaches of organization modeling can address dynamic changes in organizational structures, so some new approaches and technologies for organization model design seem to be inevitable. In this paper, firstly we particularly discuss the essentiality of organization model design in workflow systems, and propose a novel organization model based on party pattern by an analyzing and comparing traditional organization models. Secondly, for integrating it into a workflow model seamlessly, we use a role model connect of these two disparate models. This integrated model is desired to adapt various changes including personnel changes, organization changes and process changes etc., and realize the amalgamation of personnel, organization and computer application system naturally in order to accomplish given tasks successfully
  • Keywords
    organisational aspects; workflow management software; dynamic organization change; organization model analysis; organization modeling; organization relationship model; organizational structure design; party pattern; role workflow application; workflow model; workflow system; Application software; Collaborative work; Computer applications; Educational institutions; Electronic mail; Intelligent systems; Object oriented modeling; Pattern analysis; Personnel; Workflow management software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Intelligent Systems: Collective Intelligence and Its Applications, 2006. DIS 2006. IEEE Workshop on
  • Conference_Location
    Prague
  • Print_ISBN
    0-7695-2589-X
  • Type

    conf

  • DOI
    10.1109/DIS.2006.12
  • Filename
    1633465