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dc.contributor.authorKumar, Pavan
dc.contributor.authorHsieh, Shang-Hsien
dc.contributor.authorPal, Aritra
dc.contributor.authorChang, Yun-Tsui
dc.date.accessioned2025-03-08T08:44:36Z
dc.date.available2025-03-08T08:44:36Z
dc.date.issued2023
dc.date.submitted2024-04-02T15:45:45Z
dc.identifierONIX_20240402_9791221502893_44
dc.identifier2704-5846
dc.identifierhttps://library.oapen.org/handle/20.500.12657/89075
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/190377
dc.description.abstractIn pursuit of a sustainable built environment, BIM plays a crucial role in the project's performance and has egressed as a powerful technology in the construction industry, impacting the outcome and the project delivery workflows. Numerous dynamic and interdependent factors influence BIM performance. However, Existing literature prominently focuses on exploring the influencing factors for BIM performance, ignoring the impact and strength of the interplay of these factors on one another, therefore offering an inadequate picture of optimizing BIM performance. The evolving nature and degree of complexity of construction projects necessitate the identification and comprehensive understanding of the interdependencies between factors contributing to BIM performance in the sustainable built environment. A Fuzzy Cognitive Map (FCM) is a modeling method that represents and analyses the interplay between the factors in a complex system. So, this study proposes an FCM-enabled approach to investigate the interdependencies of factors contributing to BIM performance and conduct what-if scenarios, including predictive analysis. The developed FCM model can help reveal the hidden cause-effect relationships among a complex system of BIM performance factors, enabling stakeholders to develop more informed strategies and proactively plan to optimize BIM Performance
dc.languageEnglish
dc.relation.ispartofseriesProceedings e report
dc.rightsopen access
dc.subject.otherBIM performance
dc.subject.otherFuzzy Cognitive Map (FCM)
dc.subject.otherBuilt environment
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
dc.titleChapter FCM-Enabled Approach for Investigating Interdependencies of BIM Performance Factors in the Sustainable Built Environment
dc.typechapter
oapen.identifier.doi10.36253/979-12-215-0289-3.57
oapen.relation.isPublishedBy2ec4474d-93b1-4cfa-b313-9c6019b51b1a
oapen.relation.isbn9791221502893
oapen.pages9
oapen.place.publicationFlorence
dc.seriesnumber137


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