Delay Mitigation in the Malaysian Housing Industry: A Structural Equation Modelling Approach
The housing industry is one of the major contributors to the economy in Malaysia due to the constantly high housing demand. The housing demand has increased due to the rapid growth in population and urbanisation in the country. One of the major challenges in the housing industry is the late deli...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Sains Malaysia
2015
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| Subjects: | |
| Online Access: | http://eprints.usm.my/41461/1/JCDC_20%281%29_2015-Art._4_%2865-83%29.pdf |
| _version_ | 1797010636593430528 |
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| author | Chang , Saar Chai Yusof, Aminah Md Habil, Hadina |
| author_facet | Chang , Saar Chai Yusof, Aminah Md Habil, Hadina |
| author_sort | Chang , Saar Chai |
| collection | USM |
| description | The housing industry is one of the major contributors to the economy in Malaysia
due to the constantly high housing demand. The housing demand has increased due to the
rapid growth in population and urbanisation in the country. One of the major challenges in
the housing industry is the late delivery of housing supply, which in some instances leads to
sick and abandoned housing projects. Despite being extensively investigated, this delay is still
a common phenomenon of the housing industry in Malaysia. As delay in delivery could result
in a negative impact, there is a strong need to review the housing delay mitigation measures
practised in Malaysia. This paper aims to evaluate the current delay mitigation measures and
its main objective is to explore the relationship between the mitigation measures and delay
in housing via a Structural Equation Modelling (SEM) approach. A questionnaire survey
through an online survey tool was conducted across 13 states and three Federal Territories in
Malaysia. The target respondents are the local authorities, developers, consultants (principal
submitting persons) and contractors. The findings show that 17 mitigation criteria can be
extracted using principal component analysis. These measures were categorised as
predictive, preventive, organisational or corrective. This paper demonstrates that preventive
measures are the most influential mitigation measures for housing delivery delay |
| first_indexed | 2024-03-06T15:22:41Z |
| format | Article |
| id | usm.eprints-41461 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:22:41Z |
| publishDate | 2015 |
| publisher | Penerbit Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-414612018-08-21T01:59:56Z http://eprints.usm.my/41461/ Delay Mitigation in the Malaysian Housing Industry: A Structural Equation Modelling Approach Chang , Saar Chai Yusof, Aminah Md Habil, Hadina TH1-9745 Building construction The housing industry is one of the major contributors to the economy in Malaysia due to the constantly high housing demand. The housing demand has increased due to the rapid growth in population and urbanisation in the country. One of the major challenges in the housing industry is the late delivery of housing supply, which in some instances leads to sick and abandoned housing projects. Despite being extensively investigated, this delay is still a common phenomenon of the housing industry in Malaysia. As delay in delivery could result in a negative impact, there is a strong need to review the housing delay mitigation measures practised in Malaysia. This paper aims to evaluate the current delay mitigation measures and its main objective is to explore the relationship between the mitigation measures and delay in housing via a Structural Equation Modelling (SEM) approach. A questionnaire survey through an online survey tool was conducted across 13 states and three Federal Territories in Malaysia. The target respondents are the local authorities, developers, consultants (principal submitting persons) and contractors. The findings show that 17 mitigation criteria can be extracted using principal component analysis. These measures were categorised as predictive, preventive, organisational or corrective. This paper demonstrates that preventive measures are the most influential mitigation measures for housing delivery delay Penerbit Universiti Sains Malaysia 2015 Article PeerReviewed application/pdf en http://eprints.usm.my/41461/1/JCDC_20%281%29_2015-Art._4_%2865-83%29.pdf Chang , Saar Chai and Yusof, Aminah Md and Habil, Hadina (2015) Delay Mitigation in the Malaysian Housing Industry: A Structural Equation Modelling Approach. Journal of Construction in Developing Countries , 20 (1). pp. 65-83. ISSN 1823-6499 http://web.usm.my/jcdc/vol20_1_2015/JCDC%2020(1)%202015-Art.%204%20(65-83).pdf |
| spellingShingle | TH1-9745 Building construction Chang , Saar Chai Yusof, Aminah Md Habil, Hadina Delay Mitigation in the Malaysian Housing Industry: A Structural Equation Modelling Approach |
| title | Delay Mitigation in the Malaysian Housing Industry: A Structural
Equation Modelling Approach |
| title_full | Delay Mitigation in the Malaysian Housing Industry: A Structural
Equation Modelling Approach |
| title_fullStr | Delay Mitigation in the Malaysian Housing Industry: A Structural
Equation Modelling Approach |
| title_full_unstemmed | Delay Mitigation in the Malaysian Housing Industry: A Structural
Equation Modelling Approach |
| title_short | Delay Mitigation in the Malaysian Housing Industry: A Structural
Equation Modelling Approach |
| title_sort | delay mitigation in the malaysian housing industry a structural equation modelling approach |
| topic | TH1-9745 Building construction |
| url | http://eprints.usm.my/41461/1/JCDC_20%281%29_2015-Art._4_%2865-83%29.pdf |
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