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J I (2021) A cost estimation model for improving the budget estimates of industrial plant construction projects, Unpublished PhD Thesis, , The George Washington University.
Adoko, M T (2016) Developing a cost overrun predictive model for complex systems development projects, Unpublished PhD Thesis, , The George Washington University.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L F (2006) Stochastic approach to risk assessment of project finance structures under public private partnerships, Unpublished PhD Thesis, , The George Washington University.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collaboration: How transportation agencies develop skills and systems to manage public-private partnerships, Unpublished PhD Thesis, , The George Washington University.
Cho, S (2000) Sequential estimation and decision-making in project management: A Bayesian way and heuristic approaches, Unpublished PhD Thesis, , The George Washington University.
Farmer, C M (2018) Constructing program management offices for major defense acquisition programs: Factors to consider, Unpublished PhD Thesis, , The George Washington University.
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during planned organizational change: A phenomenological study of one firm in the residential construction industry, Unpublished PhD Thesis, , The George Washington University.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 (2018) Predicting military construction project time outcomes using data analytics, Unpublished PhD Thesis, , The George Washington University.
Kim, E (2000) A study on the effective implementation of earned value management methodology, Unpublished PhD Thesis, , The George Washington University.
- Type: Thesis
- Keywords: competition; flexibility; best practice; earned value management; government; value management; case study; project manager
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304592425
- Abstract:
For several decades Earned Value Management (EVM) has been applied largely by the agencies of the US Government in their large acquisition programs. However, due to increasing current global competition and rapid technological developments, greater use of EVM has been seen by many organizations as a way to achieve better control of their projects and, hence, better performance. To assist in applying EVM more efficiently to projects in various industries and government agencies, this research primarily addresses two questions: (1) How might a general model or framework, including a set of practical guidelines, for establishing and implementing EVM methodology within organizations be designed? and (2) What types of modifications, if any, to the general model and guidelines may be necessary for application in different types of organizations (e.g., public and private; large and small projects)? As part of the research, six site visits entailing in-depth individual case studies as well as a 2,500-person survey were carried out along with a comprehensive literature review. The data sources included national EVM experts, renowned researchers, and project managers. Several significant findings arise from this study. Among them are (1) Current EVM methodology is in the midst of rapid changes and the existing scholarly literature is not fully in touch with what is happening in the EVM methodology area; (2) A broader approach to considering together four factor groups (i.e., EVM users, EVM methodology, implementation process, and project environment) as reflected in the model developed during this research can significantly improve the acceptance and performance of EVM; (3) No significant difference was found in applying EVM in projects of different sizes or types. Rather, the best practice is to allow flexibility to project managers to design their own EVM applications within overall guidelines; (4) As part of the model developed from this research, more than twenty specific guidelines were identified for project managers to adopt for the better implementation of EVM; and (5) Significant improvements in the acceptance and utility of EVM appear to be arising from rapid developments in information technology—in the form of advanced computers, sophisticated software, and electronic data interchange.
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.