Optimal Allocation of Project Management Resources for Achieving Success
Publication: Journal of Construction Engineering and Management
Volume 117, Issue 2
Abstract
This paper discusses important aspects that can help project managers efficiently allocate their limited resources and thus help them achieve high levels of construction project performance. Additional, previously undiscussed model outcomes are presented that focus on the impact of the project team, planning, and control efforts as they relate to achieving “overall” project success, better‐than‐expected schedule performance, and better‐than‐expected budget performance. Results demonstrate that key success factors affect project outcomes differently. For example, increasing the number of budget updates has more of an impact on achieving better budget performance than it does on achieving better schedule and overall project performance. Implementation of a constructability program seems to have a significant impact on achieving overall project success and better schedule performance—especially on fixed‐price contracts. Reducing team turnover has a more significant impact on improving budget performance than it does in achieving better schedule or overall project performance. A robustness analysis of the model outcomes is presented, along with a discussion on the study limitations.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Ashley, D. B., and Jaselskis, E. J. (1988). “Achieving construction project success through predictive discrete choice models.” Proc. of the Ninth World Congress on Project Management, INTERNET, Glasgow, Scotland, 1, 71–86.
2.
Ben‐Akiva, M., and Lerman, S. R. (1985). Discrete choice analysis: Theory and application to travel demand. The MIT Press, Cambridge, Mass.
3.
Jaselskis, E. J. (1988). “Achieving construction project success through predictive discrete choice models,” thesis presented to the University of Texas, at Austin, Tex., in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Information & Authors
Information
Published In
Copyright
Copyright © 1991 ASCE.
History
Published online: Jun 1, 1991
Published in print: Jun 1991
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.