Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach

Purpose: This study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR o...

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Published in:Open House International
Main Author: Abdul-Rahman N.A.; Rahman R.A.; Alias A.R.
Format: Article
Language:English
Published: Emerald Publishing 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182867563&doi=10.1108%2fOHI-10-2023-0227&partnerID=40&md5=7c3bd471c10200552982e4edce58bc36
id 2-s2.0-85182867563
spelling 2-s2.0-85182867563
Abdul-Rahman N.A.; Rahman R.A.; Alias A.R.
Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
2024
Open House International
49
5
10.1108/OHI-10-2023-0227
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182867563&doi=10.1108%2fOHI-10-2023-0227&partnerID=40&md5=7c3bd471c10200552982e4edce58bc36
Purpose: This study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR of abandoned housing projects; (2) develop underlying constructs to categorize interrelated critical parameters and (3) assess the influence of the underlying constructs on the CR of abandoned housing projects. Design/methodology/approach: This study identifies potential parameters for assessing the CR of abandoned housing projects by reviewing existing literature and interviewing industry professionals. Then, the list was used to develop a questionnaire survey. The collected survey data were analyzed using normalized mean analysis to identify the critical parameters. Exploratory factor analysis (EFA) was used to develop underlying constructs to categorize interrelated critical parameters. Finally, the influence of the underlying constructs on the CR of abandoned housing projects was examined through partial least squares structural equation modeling (PLS-SEM). Findings: The analyses suggest that 21 critical parameters are affecting the CR of abandoned housing projects. The critical parameters can be categorized into four underlying constructs: construction site evaluation, management verification, uncertainties mitigation and document approval. Finally, the analyses confirmed that all four constructs affect the CR of abandoned housing projects. Originality/value: This study is a pioneering effort to quantitatively analyze the parameters for assessing the CR of abandoned housing projects. The findings significantly benefit researchers and industry professionals by providing a list of critical parameters associated with the CR of abandoned housing projects. © 2024, Emerald Publishing Limited.
Emerald Publishing
1682601
English
Article

author Abdul-Rahman N.A.; Rahman R.A.; Alias A.R.
spellingShingle Abdul-Rahman N.A.; Rahman R.A.; Alias A.R.
Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
author_facet Abdul-Rahman N.A.; Rahman R.A.; Alias A.R.
author_sort Abdul-Rahman N.A.; Rahman R.A.; Alias A.R.
title Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
title_short Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
title_full Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
title_fullStr Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
title_full_unstemmed Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
title_sort Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach
publishDate 2024
container_title Open House International
container_volume 49
container_issue 5
doi_str_mv 10.1108/OHI-10-2023-0227
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182867563&doi=10.1108%2fOHI-10-2023-0227&partnerID=40&md5=7c3bd471c10200552982e4edce58bc36
description Purpose: This study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR of abandoned housing projects; (2) develop underlying constructs to categorize interrelated critical parameters and (3) assess the influence of the underlying constructs on the CR of abandoned housing projects. Design/methodology/approach: This study identifies potential parameters for assessing the CR of abandoned housing projects by reviewing existing literature and interviewing industry professionals. Then, the list was used to develop a questionnaire survey. The collected survey data were analyzed using normalized mean analysis to identify the critical parameters. Exploratory factor analysis (EFA) was used to develop underlying constructs to categorize interrelated critical parameters. Finally, the influence of the underlying constructs on the CR of abandoned housing projects was examined through partial least squares structural equation modeling (PLS-SEM). Findings: The analyses suggest that 21 critical parameters are affecting the CR of abandoned housing projects. The critical parameters can be categorized into four underlying constructs: construction site evaluation, management verification, uncertainties mitigation and document approval. Finally, the analyses confirmed that all four constructs affect the CR of abandoned housing projects. Originality/value: This study is a pioneering effort to quantitatively analyze the parameters for assessing the CR of abandoned housing projects. The findings significantly benefit researchers and industry professionals by providing a list of critical parameters associated with the CR of abandoned housing projects. © 2024, Emerald Publishing Limited.
publisher Emerald Publishing
issn 1682601
language English
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