• DocumentCode
    680310
  • Title

    Business process modeling and decision model integration

  • Author

    Abbasi, Ehsan ; Abbasi, Kayvan

  • Author_Institution
    Dept. of Comput. Sci., SZABIST, Karachi, Pakistan
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Business Process Modeling (BPM) is a technique used to model business processes and helps in better understanding of these processes. BPM helps in improving organizational efficiency by either helping in making the business processes more efficient or even helps in automation of the business processes. There are many BPM techniques used till date but none of these techniques being used supports the decision making requirements for an organization. To address this problem the paper suggests a model that can help integrate decision making with the prevailing Business Process Models. The paper firstly reviews foundations of Business Process Modeling (BPM) and the Decision Model (DM) to establish the basis for the conceptual understanding of BPM and DM. With these theoretical bases, then a model has been proposed where the Decision Model has been integrated with the Business Process Model to meet the decision making needs for the decision makers. Finally, the implications of this model are discussed with directions for further research.
  • Keywords
    business data processing; decision making; decision theory; BPM; DM; business process automation; business process modeling; decision making requirements; decision model integration; organizational efficiency; Data models; Decision making; History; Organizations; Shape; Unified modeling language; BPMS; Business Process Modeling; Decision Model; UML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information & Communication Technologies (ICICT), 2013 5th International Conference on
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4799-2621-3
  • Type

    conf

  • DOI
    10.1109/ICICT.2013.6732789
  • Filename
    6732789