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    Factors Influencing the Acceptance of BIM-Based Automated Code Compliance Checking in the AEC Industry in China

    Source: Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 006::page 04023036-1
    Author:
    Jinyue Zhang
    ,
    Bing Cui
    ,
    Ying Gao
    ,
    Daxin Zhang
    DOI: 10.1061/JMENEA.MEENG-5344
    Publisher: ASCE
    Abstract: With the rapid development of building information modeling (BIM) and Industry Foundation Classes, BIM-based automated code compliance checking (ACCC) has long been desired by the architecture, engineering, and construction (AEC) industry. Numerous studies on the technological issues of BIM-based ACCC have been conducted over the past decade, but no studies have focused on the acceptance of BIM-based ACCC by the AEC industry. Understanding how the industry views BIM-based ACCC and the factors that influence the industry’s perception will give a clear direction to research, development, and application of this process in both technological and managerial areas. To fill the gap, this study used a hybrid approach that incorporates Decision-Making Trial and Evaluation Laboratory and Interpretative Structural Modeling methods to study the factors influencing the acceptance of BIM-based ACCC in the AEC industry in China in terms of five different dimensions (technology, organization, individual, environment, and economy) to reveal the importance of each factor and the interaction among factors. Data in this study were collected from both the design sector and the construction sector. Similarities and differences in attitudes toward BIM-based ACCC in firms in the two sectors are fully addressed and compared, and suggestions to encourage better acceptance and adoption of BIM-based ACCC in each of these sectors are provided.
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      Factors Influencing the Acceptance of BIM-Based Automated Code Compliance Checking in the AEC Industry in China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293970
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    contributor authorJinyue Zhang
    contributor authorBing Cui
    contributor authorYing Gao
    contributor authorDaxin Zhang
    date accessioned2023-11-27T23:56:29Z
    date available2023-11-27T23:56:29Z
    date issued7/25/2023 12:00:00 AM
    date issued2023-07-25
    identifier otherJMENEA.MEENG-5344.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293970
    description abstractWith the rapid development of building information modeling (BIM) and Industry Foundation Classes, BIM-based automated code compliance checking (ACCC) has long been desired by the architecture, engineering, and construction (AEC) industry. Numerous studies on the technological issues of BIM-based ACCC have been conducted over the past decade, but no studies have focused on the acceptance of BIM-based ACCC by the AEC industry. Understanding how the industry views BIM-based ACCC and the factors that influence the industry’s perception will give a clear direction to research, development, and application of this process in both technological and managerial areas. To fill the gap, this study used a hybrid approach that incorporates Decision-Making Trial and Evaluation Laboratory and Interpretative Structural Modeling methods to study the factors influencing the acceptance of BIM-based ACCC in the AEC industry in China in terms of five different dimensions (technology, organization, individual, environment, and economy) to reveal the importance of each factor and the interaction among factors. Data in this study were collected from both the design sector and the construction sector. Similarities and differences in attitudes toward BIM-based ACCC in firms in the two sectors are fully addressed and compared, and suggestions to encourage better acceptance and adoption of BIM-based ACCC in each of these sectors are provided.
    publisherASCE
    titleFactors Influencing the Acceptance of BIM-Based Automated Code Compliance Checking in the AEC Industry in China
    typeJournal Article
    journal volume39
    journal issue6
    journal titleJournal of Management in Engineering
    identifier doi10.1061/JMENEA.MEENG-5344
    journal fristpage04023036-1
    journal lastpage04023036-17
    page17
    treeJournal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 006
    contenttypeFulltext
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