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
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