Suk, Sung Joon (2012) Analysis of project management attributes for the successful delivery of capital facility projects. PhD thesis, University of Texas at Austin, USA.
Abstract
The primary goal of this research is to provide quantitative information used for the implementation of project management attributes. Nineteen project management attributes and five project performance outcomes were investigated to examine their relationships. A series of statistical analyses were conducted to quantify the relationships between the implementation levels of the attributes and the probabilities for better project performance. The analyses utilized data from 212 projects collected by the Construction Industry Institute (CII) Benchmarking and Metric database from 2007 through 2010. The results showed that the beneficial effects of project management attributes varied depending on the implementation levels of project management attributes, the performance outcome type, and whether the project was conducted by the owner or contractor organization. Quantified analysis results were provided by this research. Project management attributes were identified as critical if they were found to be significantly related to a particular performance outcome. Minimum implementation levels were provided for these critical attributes, as were results covering the combined effects of the critical attributes on performance outcomes. Based on the analysis results, the research generated specific and quantitative information used in implementing project management attributes for better performance. This information will help practitioners achieve improved project performance in the most effective and efficient way, and thus it is the practical contribution of this research. From an academic point of view, this study designed a data analysis process by a series of statistical analysis methods which makes it possible to examine the relationships between project management attributes and various project performance outcomes in a quantitative manner.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Caldas, Carlos H; Mulva, Stephen Patrick; Novoselac, Atila; Jablonowski, Christopher J and Leite, Fernanda |
| Uncontrolled Keywords: | project performance improvement; project management practices; project management attributes; project management characteristics; project management implementation |
| Index terms: | Construction Industry Institute, statistical analysis, database, owner, contractor organization, performance outcome, project management, implementation, project performance, data analysis, project management practice, benchmarking, practitioner |
| Subjects: | contractual arrangements, practitioner, organization, research organizations, sociology, data management, project management theory and practice, performance measurement, data analysis and analytics, data science, value management |
| Topics: | Organizational Design, Digital Applications, Stakeholder Management, Roles and Professions, Research Practice, Quality Management, Procurement, Project Management |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here