Bates, A J (2008) The owner's role in project success. PhD thesis, Polytechnic University, USA.
Abstract
This dissertation describes in detail the development of the survey to assess the value being added by the owner based on recommended roles and responsibilities. The survey yielded 73 projects from 45 different companies. By first defining project success from the perspective of each of the project participants, the research was able to determine the key owner functions and characteristics that contribute to project success. Through the use of descriptive and inferential statistical analysis, several regression models were developed to assist the owner in determining the correct level of involvement on the project. Two paradigms are investigated. One is classical statistical technique—multiple regression, the other is a modern artificial intelligence technique—neural networks. This study shows that both traditional regression analysis and artificial neural networks deliver beneficial project success analysis. However, regression analysis provides the baseline for the neural network method. Each has unique advantages and disadvantages, and hence each is appropriate for distinct types of problems. The combination of statistics and artificial neural network yield the best results.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Griffis, F H |
| Uncontrolled Keywords: | artificial intelligence; artificial neural network; project success; owner; multiple regression; neural network; regression analysis; statistical analysis |
| Index terms: | survey, project success, paradigm, statistical analysis, owner, multiple-regression, regression model, artificial neural network, neural network, artificial intelligence, statistics, regression analysis, dissertation |
| Subjects: | statistical analysis, research dissemination and communication, data science, sociology, education and knowledge transfer, data collection methods, project management theory and practice, mathematical modelling, artificial intelligence, modelling and simulation |
| Topics: | Project Management, Research Practice, Digital Applications, Stakeholder Management |
| Descriptive scope: | 5 PCTEA |
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