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    Determinants of the Adoption of Green Building Simulation Technologies in Architectural Design Practices in Taiwan

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001::page 04021190
    Author:
    Chuan-Hsuan Lin
    ,
    Ying-Yi Chih
    ,
    Yaw-Shyan Tsay
    DOI: 10.1061/(ASCE)CO.1943-7862.0002223
    Publisher: ASCE
    Abstract: Critical decisions about whether and how to integrate sustainability measures into the life cycle activities of green buildings are made in the early architectural design phase. To this end, researchers have advocated the use of various green building simulation technologies (GBSTs) to perform sustainability analyses to support integrated architectural design processes, cross-disciplinary communications, and evidence-based decision making. However, the adoption of GBSTs in architectural design practices remains limited. Building on the technology acceptance model, this paper investigates the determinants and mechanisms that influence the adoption of GBSTs in practice. Empirical data collected from architectural designers in Taiwan through qualitative interviews and a quantitative survey show that perceived usefulness is a strong predictor of designers’ intentions to adopt GBSTs. Job relevance, result demonstrability, compatibility, and competitive advantage are also important determinants of GBST adoption. Practical recommendations are offered to encourage greater adoption of GBSTs in architectural design practices. Theoretically, this research extends the technology adoption literature in the architecture, engineering, and construction (AEC) industry by broadening and deepening the understanding of context-specific determinants of GBST adoption.
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      Determinants of the Adoption of Green Building Simulation Technologies in Architectural Design Practices in Taiwan

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283028
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    contributor authorChuan-Hsuan Lin
    contributor authorYing-Yi Chih
    contributor authorYaw-Shyan Tsay
    date accessioned2022-05-07T20:52:48Z
    date available2022-05-07T20:52:48Z
    date issued2021-11-12
    identifier other(ASCE)CO.1943-7862.0002223.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283028
    description abstractCritical decisions about whether and how to integrate sustainability measures into the life cycle activities of green buildings are made in the early architectural design phase. To this end, researchers have advocated the use of various green building simulation technologies (GBSTs) to perform sustainability analyses to support integrated architectural design processes, cross-disciplinary communications, and evidence-based decision making. However, the adoption of GBSTs in architectural design practices remains limited. Building on the technology acceptance model, this paper investigates the determinants and mechanisms that influence the adoption of GBSTs in practice. Empirical data collected from architectural designers in Taiwan through qualitative interviews and a quantitative survey show that perceived usefulness is a strong predictor of designers’ intentions to adopt GBSTs. Job relevance, result demonstrability, compatibility, and competitive advantage are also important determinants of GBST adoption. Practical recommendations are offered to encourage greater adoption of GBSTs in architectural design practices. Theoretically, this research extends the technology adoption literature in the architecture, engineering, and construction (AEC) industry by broadening and deepening the understanding of context-specific determinants of GBST adoption.
    publisherASCE
    titleDeterminants of the Adoption of Green Building Simulation Technologies in Architectural Design Practices in Taiwan
    typeJournal Paper
    journal volume148
    journal issue1
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002223
    journal fristpage04021190
    journal lastpage04021190-12
    page12
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 001
    contenttypeFulltext
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