• DocumentCode
    3472828
  • Title

    Project strategy: Success themes for strategic projects

  • Author

    Huang, Zhiye ; Poli, Michael ; Mithiborwala, Hasan Shabbir

  • Author_Institution
    Sch. of Manage. Sci. & Eng., Central Univ. of Finance & Econ., Beijing, China
  • fYear
    2009
  • fDate
    2-6 Aug. 2009
  • Firstpage
    1282
  • Lastpage
    1289
  • Abstract
    The success rate of projects is low. Adopting a measurement regime and consistently applying it has a strong positive impact on project success. However, there is no accepted methodology for measuring project success. Key issues that impact project success are: (1) Untested claims exist about success dimensions, measures and critical variables. (2) Existing models ignore interdependency among success dimensions and management variables. (3) Existing techniques fail to measure the effects of management variables and success measures on overall project success. Project success assessment is integral to top management´s decision-making process. Measures should be set prior to project initiation. A new approach is taken in developing a decision-making model to assess and forecast project success qualitatively and quantitatively. This paper deals with the multidimensional nature of project success measurement. Success dimensions and success factors are explored to determine their impact on measuring project success. Using these results, a project success scheme is created using ANP. This success scheme is used to design a decision-making model. The proposed framework provides project stakeholders with a forecasting and diagnostic tool to evaluate progressively and objectively the project´s chances of success to assist in improving overall project performance.
  • Keywords
    decision making; project management; strategic planning; project performance; project strategy; project success assessment; project success measurement; strategic projects; success factors; top management decision making model; Decision making; Economic forecasting; Engineering management; Finance; Financial management; Guidelines; Multidimensional systems; Predictive models; Project management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology, 2009. PICMET 2009. Portland International Conference on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-890843-20-5
  • Electronic_ISBN
    978-1-890843-20-5
  • Type

    conf

  • DOI
    10.1109/PICMET.2009.5261992
  • Filename
    5261992