| Title: |
Bridging theory and prediction : a hybrid SEM and machine learning approach to optimize lean construction for megaproject sustainability in China |
| Authors: |
Ibrahim, A; Zayed, T; Lafhaj, Z; Maged, A; Kineber, AF; Yang, J |
| Contributors: |
Department of Building and Real Estate |
| Publisher Information: |
John Wiley & Sons Ltd. |
| Publication Year: |
2026 |
| Collection: |
Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR) |
| Subject Terms: |
China; Gradient boosting; Lean construction practices; Machine learning; Megaprojects; PLS- SEM; SHAP; Sustainability |
| Description: |
202601 bcch ; Version of Record ; Others ; The author would like to sincerely thank the Hong Kong Polytechnic University (PolyU) for funding this study. PolyU financing has advanced research and facilitated the advancements that underpin this review. ; Early release ; Wiley (2026) ; TA |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://hdl.handle.net/10397/117030; a4284, OA_TA; 52540 |
| DOI: |
10.1002/csr.70424 |
| Availability: |
https://hdl.handle.net/10397/117030; https://doi.org/10.1002/csr.70424 |
| Rights: |
This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. ; © 2026 The Author(s). Corporate Social Responsibility and Environmental Management published by ERP Environment and John Wiley & Sons Ltd. ; The following publication Ibrahim, A., Zayed, T., Lafhaj, Z., Maged, A., Kineber, A.F. and Yang, J. (2026), Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China. Corp Soc Responsib Environ Manag is available at https://doi.org/10.1002/csr.70424. |
| Accession Number: |
edsbas.3FDAAEAE |
| Database: |
BASE |