Alketbi, S R (2020) Effective implementation of value engineering in the housing construction programmes of the UAE. PhD thesis, University of Wolverhampton, UK.
Abstract
Balancing time, cost and quality is one of the major challenges impacting the housing programmes of the United Arab Emirates (UAE). Therefore, this study was undertaken with the main aim of determining the impacts of the tools and principles of value engineering on public sector housing in the UAE. The study also aimed to develop a framework to define the guidelines of a value engineering methodology to improve the execution of government housing projects, along with a reduction in the level of risk. The five dependent variables in the study were: achievement of needs, conflict avoidance, affordability of housing, competitive advantage and reduced cost of production. The two independent variables were value engineering in design and value engineering in the procurement process. To accomplish the aim and objectives of the research, both primary and secondary research approaches were used. The secondary research was conducted through a literature review while the primary research was conducted using both qualitative and quantitative approaches. The quantitative research involved a survey of value engineers, contractors and employees of construction companies in the UAE. The number of fully completed questionnaires was 102, and the primary data collected was analysed using descriptive statistics and regression and correlation analyses. Subsequently, qualitative data was collected through interviews in order to gain deeper insights into the subject matter. Thirty interviews were conducted with housing officers, directors and value engineers associated with housing construction projects. The interview data was analysed using content analysis. The analyses suggested that the five dependent variables were significantly correlated with the implementation of value engineering in design and procurement. On the basis of these findings, a framework was developed and validated by 40 experts. This framework can be applied in the UAE to make housing and other construction projects affordable and sustainable and to meet the full needs of clients as well as end users.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | competitive advantage; housing projects; value engineering; interview; quantitative research; content analysis |
| Index terms: | housing, end user, construction company, content analysis, competitive advantage, questionnaire, implementation, statistics, United Arab Emirates, quantitative research, independent variable, housing project, value engineer, residential construction, survey, construction project, programme, procurement process, interview, correlation analysis, methodology, dependent variable, public sector, affordability, value engineering, literature review |
| Subjects: | statistical analysis, production management, research methods, Geography, administrative law, project controls, data analysis and analytics, data collection methods, construction integration, contractual arrangements, mathematical modelling, construction type, practitioner, economic analysis, stakeholder, value management, market analysis, organization, housing and residential development |
| Topics: | Business Strategy, Roles and Professions, Cost Management, Time Control, Geographical Context, Construction Technology, Urban Studies, Procurement, Project Management, Legal Issues, Research Practice |
| 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