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            Chapter FCM-Enabled Approach for Investigating Interdependencies of BIM Performance Factors in the Sustainable Built Environment

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            Author(s)
            Kumar, Pavan
            Hsieh, Shang-Hsien
            Pal, Aritra
            Chang, Yun-Tsui
            Language
            English
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            Abstract
            In 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
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/190377
            Keywords
            BIM performance; Fuzzy Cognitive Map (FCM); Built environment; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
            DOI
            10.36253/979-12-215-0289-3.57
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            9
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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