Banwo, O O (2022) Development of a framework for building cost information management in Nigeria. PhD thesis, Coventry University, UK.
Abstract
There are various factors that influence successful delivery of building construction projects such as cost, quality, time, project objectives etc. As such the success of a project should not only be based on quality output but also on project cost objectives and time. Review of literatures in the study area revealed that one of the main issues of building cost management in Nigeria is inaccurate building cost estimation due to unreliable cost information. To address these inherent limitations of building cost management, several studies have recommended the development of a database for building cost information that better addresses the demands for reliable and accurate building cost information. The thesis presents the development of a robust building cost information management framework to aid building cost estimation and project cost management processes in the Nigerian construction industry by exploring current cost management practices and investigating the underlying factors affecting building cost variances. The methodology adopted for this study involved literature review and mixed method approach combining qualitative, quantitative, and documented building cost data. The quantitative data was obtained using an online questionnaire survey from 37 respondents to determine the underlying factors influencing building cost variances across different regions in Nigeria. In addition, semi-structure interviews were used to investigate current building cost estimation issues and perceptions of quantity surveyors on building cost management practices in Nigeria. Finally, documented building cost data from eleven completed building projects across the six geo-political regions in Nigeria were used to investigate impact of types of clients on final building costs. The combination of quantitative survey data and qualitative interview data enabled the use of a range of analysis strategies and statistical techniques such as T-test analysis, Pearson correlation analysis, inferential statistics, and content analysis. Emerging findings revealed that the Nigerian construction industry currently has no reliable building cost information database for cost estimation and appraisal. A building cost information framework was developed based on the identified functional cost requirements from historical building cost data and no other aspect of construction, hence cost of other aspect of construction was not explored. This thesis attains a significant contribution to knowledge by the identification of factors affecting building cost management and development of a framework to address some of the issues of building cost variances in Nigeria.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | construction project; cost estimation; cost management; cost variance; information management; project cost; client; quantity surveyor; Nigeria; content analysis; cost information; interview; questionnaire survey |
| Index terms: | cost variance, statistics, cost data, construction industry, Nigeria, correlation analysis, database, cost management, mixed method, quantity surveying, cost information, historical building, appraisal, questionnaire, construction project, methodology, survey, project cost, strategy, content analysis, literature review, building construction, cost estimating, interview |
| Subjects: | building construction, financial analysis, research methods, accounting and finance, factor and component analysis, production management, Geography, construction type, data management, statistical analysis, industry analysis, economics, management, financial and cost management, data analysis and analytics, mathematical modelling, data collection methods, profession |
| Topics: | Project Management, Geographical Context, Research Practice, Business Strategy, Cost Management, Construction Technology, Roles and Professions, Digital Applications |
| 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