• DocumentCode
    2582887
  • Title

    IT governance decision support using the IT Organization Modeling and Assessment Tool

  • Author

    Simonsson, Marten ; Johnson, Pontus ; Ekstedt, Mathias

  • Author_Institution
    Dept. of Ind. Inf. & Control Syst., R. Inst. of Technol., Stockholm
  • fYear
    2008
  • fDate
    27-31 July 2008
  • Firstpage
    802
  • Lastpage
    810
  • Abstract
    It is important to ensure that the IT governance is not only designed to achieve internal efficiency in the IT organization, such as deploying good IT processes and making sure that the means and goals are documented. The final goal of good IT governance is rather to provide the business with the support needed in order to conduct business in a good manner. This paper describes the IT organization modeling and assessment tool (ITOMAT) and how it can be used for IT governance decision making. ITOMAT consists of an enterprise architecture metamodel that describes IT organizations. ITOMAT further contains a Bayesian network for making predictions on how changes to IT organization models will affect the IT governance performance as perceived by business stakeholders. In order to make such predictions accurately, the network learns from data on previous experience. Thorough case studies at 20 different companies have been conducted in order to calibrate the network. Finally, the paper describes a case study where ITOMAT was used to analyze the future impact of two IT organization change scenarios in a medium sized engineering company.
  • Keywords
    DP management; Bayesian network; IT governance decision support; IT organization modeling; assessment tool; Africa; Bayesian methods; Cities and towns; Companies; Control system synthesis; Decision making; Electrical equipment industry; Industrial control; Management information systems; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-890843-17-5
  • Electronic_ISBN
    978-1-890843-18-2
  • Type

    conf

  • DOI
    10.1109/PICMET.2008.4599688
  • Filename
    4599688