Alenazi, E O N (2018) Using BIM for delay management in public sector construction projects in KSA. PhD thesis, Loughborough University, UK.
Abstract
The Kingdom of Saudi Arabia (KSA) is not an exception in relying on the advancement of its construction industry to support rapid population growth. However, its need for infrastructure development is constrained by low productivity levels and cost overruns caused by factors such as delays in completing projects. Delays in construction projects are a global issue, and while theories such as Optimism Bias can explain some aspects of delays, in KSA, client-related causes of delays are very endemic in public sector projects. These have negative consequences on national development as well as public trust and expectations. Although several studies on delays in construction projects have been carried out globally, these problems have not been comprehensively tackled due to limitations in existing project management techniques. Therefore, to address this research gap, the aim of this study is to examine a new approach to reducing and managing delays in construction projects through Building Information Modelling (BIM), especially with regards to eliminating optimism bias and reducing the cost consequences that such delays have on Saudi public-sector projects. To achieve this aim, a qualitative approach has been adopted for data collection using multiple case studies to investigate how BIM would help the analysis and management of delays in specific kinds of projects.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | building information modelling; client; construction project; infrastructure; optimism bias; population; productivity; project management; public sector; Saudi Arabia; trust |
| Index terms: | Saudi Arabia, case study, Kingdom of Saudi Arabia, building information modelling, public sector, qualitative approach, project management technique, productivity, cost overrun, causes of delay, project management, construction industry, optimism bias, infrastructure development, population, construction project |
| Subjects: | data collection methods, financial and cost management, project management theory and practice, management, administrative law, industry analysis, information systems, project controls, operations management, production management, Geography, infrastructure engineering, research methods, demography, cognitive psychology |
| Topics: | Engineering Principles, Geographical Context, Project Management, Legal Issues, Research Practice, Cost Management, Business Strategy, Urban Studies, Digital Applications, Time Control |
| Descriptive scope: | 5 PCTEA |
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