Developing performance assessment tools for sustainable and resilient infrastructure project
Infrastructure projects play a vital role in promoting social, environmental, and economic progress, especially in developing countries. The recent emergence of sustainable practices in construction, coupled with the absence of practical evaluation indicators, has made it difficult to assess project...
Published in: | INNOVATIVE INFRASTRUCTURE SOLUTIONS |
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Format: | Article |
Language: | English |
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SPRINGER INT PUBL AG
2024
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Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001361254800001 |
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Shahrudin Nur Shuhada Nor; Mustaffa Nur Kamaliah |
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Shahrudin Nur Shuhada Nor; Mustaffa Nur Kamaliah Developing performance assessment tools for sustainable and resilient infrastructure project Engineering |
author_facet |
Shahrudin Nur Shuhada Nor; Mustaffa Nur Kamaliah |
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Shahrudin |
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Shahrudin, Nur Shuhada Nor; Mustaffa, Nur Kamaliah Developing performance assessment tools for sustainable and resilient infrastructure project INNOVATIVE INFRASTRUCTURE SOLUTIONS English Article Infrastructure projects play a vital role in promoting social, environmental, and economic progress, especially in developing countries. The recent emergence of sustainable practices in construction, coupled with the absence of practical evaluation indicators, has made it difficult to assess project performance effectively. This study focusses on the necessity for strong evaluation tools to measure the sustainability and resilience of these projects. This study advanced a thorough performance assessment tool through factor analysis and Partial Least Squares Structural Equation Modelling (PLS-SEM), incorporating 29 essential indicators across environmental (13), social (10), and resilience (6) dimensions. The findings reveal that three out of the four constructs accounted for 45% of the variance in project success due to environmental indicators, while social factors contributed 32% and resilience factors accounted for 23%. The analysis using PLS-SEM demonstrated that resilient performance indicators have a significant positive impact on project outcomes, evidenced by path coefficients of 0.413. The findings validate the reliability and validity of the PLS-SEM model, showcasing strong measurement and structural models. The insights gained play a significant role in advancing the objectives of the Sustainable Development Goals, offering a structured approach to enhance sustainable infrastructure practices. SPRINGER INT PUBL AG 2364-4176 2364-4184 2024 9 12 10.1007/s41062-024-01778-x Engineering WOS:001361254800001 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001361254800001 |
title |
Developing performance assessment tools for sustainable and resilient infrastructure project |
title_short |
Developing performance assessment tools for sustainable and resilient infrastructure project |
title_full |
Developing performance assessment tools for sustainable and resilient infrastructure project |
title_fullStr |
Developing performance assessment tools for sustainable and resilient infrastructure project |
title_full_unstemmed |
Developing performance assessment tools for sustainable and resilient infrastructure project |
title_sort |
Developing performance assessment tools for sustainable and resilient infrastructure project |
container_title |
INNOVATIVE INFRASTRUCTURE SOLUTIONS |
language |
English |
format |
Article |
description |
Infrastructure projects play a vital role in promoting social, environmental, and economic progress, especially in developing countries. The recent emergence of sustainable practices in construction, coupled with the absence of practical evaluation indicators, has made it difficult to assess project performance effectively. This study focusses on the necessity for strong evaluation tools to measure the sustainability and resilience of these projects. This study advanced a thorough performance assessment tool through factor analysis and Partial Least Squares Structural Equation Modelling (PLS-SEM), incorporating 29 essential indicators across environmental (13), social (10), and resilience (6) dimensions. The findings reveal that three out of the four constructs accounted for 45% of the variance in project success due to environmental indicators, while social factors contributed 32% and resilience factors accounted for 23%. The analysis using PLS-SEM demonstrated that resilient performance indicators have a significant positive impact on project outcomes, evidenced by path coefficients of 0.413. The findings validate the reliability and validity of the PLS-SEM model, showcasing strong measurement and structural models. The insights gained play a significant role in advancing the objectives of the Sustainable Development Goals, offering a structured approach to enhance sustainable infrastructure practices. |
publisher |
SPRINGER INT PUBL AG |
issn |
2364-4176 2364-4184 |
publishDate |
2024 |
container_volume |
9 |
container_issue |
12 |
doi_str_mv |
10.1007/s41062-024-01778-x |
topic |
Engineering |
topic_facet |
Engineering |
accesstype |
|
id |
WOS:001361254800001 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001361254800001 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1818940497211686912 |