Risk management in sustainable building projects: A systematic literature review and scientometric analysis

Fuwei Wang, Maxwell Fordjour Antwi-Afari*, Shahnawaz Anwer, Waleed Umer, Imran Mehmood*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Given the extensive research on risk management in sustainable projects, there is a need to comprehensively synthesize the extant literature to enhance current research development and practical application. Therefore, the current study conducts a systematic literature review and scientometric analysis of risk management in sustainable building projects to identify mainstream research topics, research gaps, and future research directions. By following the PRISMA framework, 61 journal articles were finally retrieved from Scopus and Web of Science databases. In addition, scientometric analyses such as keywords and countries/regions co-occurrence analysis were conducted. The results identified four mainstream topics, including (1) risk management in green building, (2) supply chain risk management for sustainable projects, (3) application of building information modeling (BIM) in risk management of sustainable construction projects, and (4) risk assessment of sustainable construction projects. Moreover, this study developed a framework identifying four key research gaps and future research directions. Ultimately, the current study contributes to broadening the academic discourse on risk management in sustainable building projects as well as providing risk management strategies and policies towards a sustainable built environment.
Original languageEnglish
Article number100111
Number of pages15
JournalCleaner Production Letters
Volume9
Early online date7 Nov 2025
DOIs
Publication statusPublished - 1 Dec 2025

Bibliographical note

Copyright © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).

Keywords

  • Building information modelling
  • Risk management
  • Scientometric analysis
  • Sustainable projects
  • Systematic literature review

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