dc.contributor.author	Chai, Chang Sa'ar
dc.date.accessioned	2024-08-21T14:56:11Z
dc.date.available	2024-08-21T14:56:11Z
dc.date.issued	2014
dc.description	Thesis (PhD. (Civil Engineering))
dc.description.abstract	The challenges associated with housing delivery process in Malaysia have resulted in late delivery of housing supply and increasing numbers of sick and abundant projects. Although delays have been extensively investigated in the construction industry, it is still a common phenomenon especially for Malaysian housing industry. Therefore, there is a strong need to review the delay and reclassify delay factors in order to evaluate the housing delivery performance in Malaysia. This research aims at developing housing performance index to address delay in delivery process. As the delay factors are identified and classified, the factors which are gathered in an empirical survey are analyzed. Principal Component Analysis (PCA) is conducted on the information obtained from a questionnaire survey held. A numbers of 23 delay factors are extracted from a total of 91 delay factors which are classified into 3 categories of new delay classification; structural, institutional and cultural in housing delivery stages. The most successful mitigation measures in housing delay avoidance are identified. Structural Equation Modeling (SEM) is performed to examine the causal relationship of new delay classification and housing delivery process. A housing delivery performance index is derived from such SEM model. Structural delay recorded the highest index coefficient (0.42) as compared to institutional delay (0.28) and cultural delay (0.30) respectively. This demonstrated that structural delay is a significant influence to the housing delivery performance. The performance index can be improved by trading off mitigation strategy and potential delay factors. The index is essential to benchmark the housing delivery performance and hence provides a preliminary guideline to the construction players in handling housing projects. The index is verified via a semi structured interview and three case studies which proves its functionality in practice
dc.description.sponsorship	Faculty of Civil Engineering
dc.identifier.uri	https://openscience.utm.my/handle/123456789/1294
dc.language.iso	en
dc.publisher	Universiti Teknologi Malaysia
dc.subject	Construction industry—Malaysia—Management
dc.subject	Housing—Malaysia
dc.subject	Housing development—Research
dc.title	Delay in housing delivery process in Malaysia
dc.type	Thesis
dc.type	Dataset

Delay in housing delivery process in Malaysia

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