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oapen-20.500.12657-890752024-04-03T02:23:13Z Chapter FCM-Enabled Approach for Investigating Interdependencies of BIM Performance Factors in the Sustainable Built Environment Kumar, Pavan Hsieh, Shang-Hsien Pal, Aritra Chang, Yun-Tsui BIM performance Fuzzy Cognitive Map (FCM) Built environment thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization 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 2024-04-02T15:45:45Z 2024-04-02T15:45:45Z 2023 chapter ONIX_20240402_9791221502893_44 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89075 eng Proceedings e report application/pdf n/a 9791221502893_57.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_57 Firenze University Press 10.36253/979-12-215-0289-3.57 10.36253/979-12-215-0289-3.57 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 9 Florence open access
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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
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