• DocumentCode
    3283743
  • Title

    Managing Business Process Risk Using Rich Organizational Models

  • Author

    Bhuiyan, Moshiur ; Islam, M. M Zahidul ; Koliadis, George ; Krishna, Aneesh ; Ghose, Aditya

  • Author_Institution
    Univ. of Wollongong, Wollongong
  • Volume
    2
  • fYear
    2007
  • fDate
    24-27 July 2007
  • Firstpage
    509
  • Lastpage
    520
  • Abstract
    Business processes represent the operational capabilities of an organization. In order to ensure process continuity, the effective management of risk becomes an area of key concern. In this paper we propose an approach for supporting risk identification with the use of higher-level organizational models. We provide some intuitive metrics for extracting measures of actor criticality, and vulnerability from organizational models. This helps direct risk management to areas of critical importance within organization models. Additionally, the information can be used to assess alternative organizational structures in domains where risk mitigation is crucial. At the process level, these measures can be used to help direct improvements to the robustness and failsafe capabilities of critical or vulnerable processes. We believe our novel approach, will provide added benefits when used with other approaches to risk management during business process management, that do not reference the greater organizational context during risk assessment.
  • Keywords
    business data processing; organisational aspects; risk management; business process risk management; higher-level organizational model; process continuity; risk identification; Australia; Business continuity; Computer science; Data mining; Engineering management; Laboratories; Project management; Risk management; Robustness; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International
  • Conference_Location
    Beijing
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-2870-8
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2007.138
  • Filename
    4291172