A Comprehensive Model for Lean Construction Practices for Sustainable Megaproject Delivery

ABSTRACT Megaprojects, characterized by immense scale and complexity, frequently suffer from inefficiencies, cost overruns, and delays. Lean Construction (LC) offers a strategic solution to enhance efficiency and sustainability, yet its adoption lacks empirically validated, context‐specific frameworks, particularly in rapidly developing economies like China. This study bridges this gap by developing and validating a comprehensive model linking lean construction practices (LCPs) to LC adoption (LCA) in megaprojects. Through a mixed‐methods approach, literature review, expert interviews, and a survey of 379 professionals, 35 LCPs were identified and categorized into six constructs. Structural equation modeling (SEM) confirmed that all six LCP categories significantly and positively influence LCA ( p < 0.001). People Involvement and Continuous Improvement emerged as the strongest predictor ( β = 0.241), followed by safety and quality assurance ( β = 0.202), customer focus and waste elimination ( β = 0.195), standardization and process transparency ( β = 0.192), flow and pull systems ( β = 0.130), and planning and scheduling ( β = 0.110). Subsequently, fuzzy synthetic evaluation (FSE) prioritized “Planning and Scheduling” as the highest‐impact practice, followed by “Flow and Pull Systems” and “Customer Focus and Waste Elimination.” This dual‐method validation not only confirms the theoretical model but also provides a practical, prioritized roadmap for policymakers and practitioners. The findings offer actionable strategies to reduce waste, enhance collaboration, and improve sustainability, making a critical contribution to resilient global infrastructure development.

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Publication Details

Journal
Sustainable Development
Published
2025-10-15
DOI
https://doi.org/10.1002/sd.70313
Citations
3
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
6.32
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article

A Comprehensive Model for Lean Construction Practices for Sustainable Megaproject Delivery

Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj
3 citations
Sustainable Development
Construction Project Management and Performance
6.32
article

A Comprehensive Model for Lean Construction Practices for Sustainable Megaproject Delivery

Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj
article en
3 citations

Abstract

ABSTRACT Megaprojects, characterized by immense scale and complexity, frequently suffer from inefficiencies, cost overruns, and delays. Lean Construction (LC) offers a strategic solution to enhance efficiency and sustainability, yet its adoption lacks empirically validated, context‐specific frameworks, particularly in rapidly developing economies like China. This study bridges this gap by developing and validating a comprehensive model linking lean construction practices (LCPs) to LC adoption (LCA) in megaprojects. Through a mixed‐methods approach, literature review, expert interviews, and a survey of 379 professionals, 35 LCPs were identified and categorized into six constructs. Structural equation modeling (SEM) confirmed that all six LCP categories significantly and positively influence LCA ( p < 0.001). People Involvement and Continuous Improvement emerged as the strongest predictor ( β = 0.241), followed by safety and quality assurance ( β = 0.202), customer focus and waste elimination ( β = 0.195), standardization and process transparency ( β = 0.192), flow and pull systems ( β = 0.130), and planning and scheduling ( β = 0.110). Subsequently, fuzzy synthetic evaluation (FSE) prioritized “Planning and Scheduling” as the highest‐impact practice, followed by “Flow and Pull Systems” and “Customer Focus and Waste Elimination.” This dual‐method validation not only confirms the theoretical model but also provides a practical, prioritized roadmap for policymakers and practitioners. The findings offer actionable strategies to reduce waste, enhance collaboration, and improve sustainability, making a critical contribution to resilient global infrastructure development.

Sustainable DevelopmentVol. 34(1)
Centre National de la Recherche Scientifique (FR), Hong Kong Polytechnic University (HK), Benha University (EG), École Centrale de Lille (FR)
Openalex Percentile: Top 3%
Construction Project Management and Performance
6.32
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