DocumentCode :
3472847
Title :
Improving project portfolio management with strategic alignment
Author :
Iamratanakul, Supachart ; Shankar, Ravi ; Dimmitt, Nicholas J.
Author_Institution :
Sch. of Manage., Asian Inst. of Technol., Pathumthani, Thailand
fYear :
2009
fDate :
2-6 Aug. 2009
Firstpage :
1290
Lastpage :
1300
Abstract :
This study describes how to apply a project portfolio management approach to a specific selection of projects by using information obtained from the real-world. More precisely, there are three major goals specified for project portfolio management: Maximizing the value of the portfolio (MVP), balancing a portfolio, and aligning a project portfolio with a business strategy. For the first goal, selecting the MVP projects, the optimization technique is used to determine the optimum portfolio since it portrays a systematic way to find a solution. To balance a portfolio, visual techniques are used to make the right balanced portfolio. Finally, we conclude with the result which came from applying mediation regression analysis to achieve the mediating influence of the alignment. The results establish the context in which to measure the alignment between business strategy and project portfolio on business performance. It also provides a platform to study the alignment between project portfolio and business strategy that could leverage the growing appreciation of this subject.
Keywords :
business data processing; optimisation; project management; regression analysis; business strategy; mediation regression analysis; optimization technique; project portfolio management; strategic alignment; visual technique; Contingency management; Environmental management; Mediation; Organizing; Performance analysis; Portfolios; Project management; Regression analysis; Technology management; Testing;
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.2009.5261993
Filename :
5261993
Link To Document :
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