Abstracts – Browse Results
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Abdenour, J I (2021) A cost estimation model for improving the budget estimates of industrial plant construction projects, Unpublished PhD Thesis, , The George Washington University.
Adoko, M T (2016) Developing a cost overrun predictive model for complex systems development projects, Unpublished PhD Thesis, , The George Washington University.
Alves, L F (2006) Stochastic approach to risk assessment of project finance structures under public private partnerships, Unpublished PhD Thesis, , The George Washington University.
Boyer, E J (2012) Building capacity for cross-sector collaboration: How transportation agencies develop skills and systems to manage public-private partnerships, Unpublished PhD Thesis, , The George Washington University.
Cho, S (2000) Sequential estimation and decision-making in project management: A Bayesian way and heuristic approaches, Unpublished PhD Thesis, , The George Washington University.
Farmer, C M (2018) Constructing program management offices for major defense acquisition programs: Factors to consider, Unpublished PhD Thesis, , The George Washington University.
- Type: Thesis
- Keywords: government; integration; organizational factors; effectiveness; organizational structure; probability
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2164355067
- Abstract:
Over the last two decades, assessments of major defense acquisition systems consistently cite program management office (PMO) effectiveness as a key factor for successfully producing weapon systems. Studies conducted across government, industry, and academia attribute PMO effectiveness to ideal organizational structure, relevant capabilities, and well-balanced skill mix among other PMO attributes. This research identifies key factors to consider when constructing systems integration organizational structures (SIOS) for large, complex programs. Unique organizational factors emerged from the analysis of 162 Major Defense Acquisition Programs (MDAPs) (including current and terminated systems, 1995-2016). Theoretically, these factors will help the program management scholars design a robust decision model that will guide selection of organizing constructs for MDAP PMOs. This research provides the methodology used to identify primary SIOS types, evaluate SIOS effectiveness, and identify core factors that help Program Managers select a SIOS that aligns with acquisition strategy. Program Managers can review SIOS type attributes and gain understanding of available SIOS configurations, the success rate and factors associated with a given SIOS type and understand the advantages and disadvantages of each option. While most SIOS types will work, probability of success can be improved by selecting the configuration that best suits the program factors.
Griffin, M G (2008) The lived experience of first line managers during planned organizational change: A phenomenological study of one firm in the residential construction industry, Unpublished PhD Thesis, , The George Washington University.
Innocent, M J F, Jr. (2018) Predicting military construction project time outcomes using data analytics, Unpublished PhD Thesis, , The George Washington University.
Kim, E (2000) A study on the effective implementation of earned value management methodology, Unpublished PhD Thesis, , The George Washington University.
Lounsbury, C R (1983) From craft to industry: The building process in North Carolina in the nineteenth century, Unpublished PhD Thesis, , The George Washington University.
Ngamthampunpol, D (2008) An assessment of safety management in the Thai construction industry, Unpublished PhD Thesis, , The George Washington University.
Park, J (2015) Essays on the delivery of public infrastructure projects: Empirical analyses on transportation projects in Florida, Unpublished PhD Thesis, , The George Washington University.
Schulte, W D, Jr. (1999) The effect of international corporate strategies and information and communication technologies on competitive advantage and firm performance: An exploratory study of the international engineering, procurement and construction (IEPC) industry, Unpublished PhD Thesis, , The George Washington University.
Shamma, E M (1988) A dynamic model for the growth of construction firms, Unpublished PhD Thesis, , The George Washington University.
Taku, A M (2021) Predicting modular efficiency in oil and gas capital projects using multi-criteria decision analysis, Unpublished PhD Thesis, , The George Washington University.
Zhou, G (2021) Machine learning-based cost predictive model for better operating expenditure estimations of U.S. light rail transit projects, Unpublished PhD Thesis, , The George Washington University.