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...

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Published in:INNOVATIVE INFRASTRUCTURE SOLUTIONS
Main Authors: Shahrudin, Nur Shuhada Nor; Mustaffa, Nur Kamaliah
Format: Article
Language:English
Published: SPRINGER INT PUBL AG 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001361254800001
author Shahrudin
Nur Shuhada Nor; Mustaffa
Nur Kamaliah
spellingShingle 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
author_sort Shahrudin
spelling 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
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