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        <title type="main" level="a">FCM-Enabled Approach for Investigating Interdependencies of BIM Performance Factors in the Sustainable Built Environment</title>
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          <persName n="1">
            <forename>Pavan</forename>
            <surname>Kumar</surname>
            <placeName type="affiliation">National Taiwan University, Taiwan</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0002-1644-7400" type="ORCID">
            <forename>Aritra</forename>
            <surname>Pal</surname>
            <placeName type="affiliation">National Taiwan University, Taiwan</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0003-1515-4187" type="ORCID">
            <forename>Yun-Tsui</forename>
            <surname>Chang</surname>
            <placeName type="affiliation">National Taiwan University, Taiwan</placeName>
          </persName>
          <persName n="4">
            <forename>Shang-Hsien</forename>
            <surname>Hsieh</surname>
            <placeName type="affiliation">National Taiwan University, Taiwan</placeName>
          </persName>
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          <resp>This is a section of <title>CONVR 2023 - Proceedings of the 23rd International Conference on  Construction Applications of Virtual Reality </title>(DOI: <idno type="DOI">10.36253/979-12-215-0289-3</idno>) by </resp>
          <name>Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi</name>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2023">2023</date>
        <idno type="DOI">https://doi.org/10.36253/10.36253/979-12-215-0289-3.57</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
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            <p>Content licence CC BY-NC 4.0</p>
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          <licence source="metadata" target="https://creativecommons.org/publicdomain/zero/1.0/legalcode">
            <p>Metadata licence CC0 1.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>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</p>
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        <keywords>
          <list>
            <item>BIM performance</item>
            <item>Fuzzy Cognitive Map (FCM)</item>
            <item>Built environment</item>
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      <p>It is available online at https://doi.org/10.36253/10.36253/979-12-215-0289-3.57<ref target="https://doi.org/10.36253/10.36253/979-12-215-0289-3.57" /></p>
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