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    Examining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003::page 04024211-1
    Author:
    Ali Rahimian
    ,
    Rana Rabnawaz Ahmed
    ,
    Abdulwahed Fazeli
    ,
    Ehsan Aghdam
    ,
    Atul Kumar Singh
    ,
    Mahdi Naji
    ,
    Saeed Reza Mohandes
    ,
    Maxwell Fordjour Antwi-Afari
    ,
    Tarek Zayed
    DOI: 10.1061/JCEMD4.COENG-14231
    Publisher: American Society of Civil Engineers
    Abstract: Although the adoption of Internet of Things (IoTs) for green buildings (GBs) has attracted significant attention from researchers and practitioners in the construction sector, few studies have investigated the barriers to its implementation. To bridge this gap, this study aimed to identify and analyze the barriers to the adoption of IoTs in GBs through the lens of seasoned experts in the Hong Kong construction sector. A hybrid of systematic reviews, expert interviews, and social network analysis was used. The results revealed that 26 barriers impede the adoption of IoTs within GBs, and these barriers can be categorized into seven clusters. The most significant barriers include “political/regulatory” and “security” categories; and “cybersecurity and data risks,” “concerns over the protection of intellectual property,” “fewer GB codes/regulations available,” “documentation requirements,” and “uncertain government policies and absence of government support.” These findings pave the way for relevant decision makers to adopt further productive measures to promote the adoption of IoT-based technologies in GBs, thereby expediting the application of the sustainability paradigm in the construction sector.
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      Examining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings

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    contributor authorAli Rahimian
    contributor authorRana Rabnawaz Ahmed
    contributor authorAbdulwahed Fazeli
    contributor authorEhsan Aghdam
    contributor authorAtul Kumar Singh
    contributor authorMahdi Naji
    contributor authorSaeed Reza Mohandes
    contributor authorMaxwell Fordjour Antwi-Afari
    contributor authorTarek Zayed
    date accessioned2025-04-20T10:21:11Z
    date available2025-04-20T10:21:11Z
    date copyright12/26/2024 12:00:00 AM
    date issued2025
    identifier otherJCEMD4.COENG-14231.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304540
    description abstractAlthough the adoption of Internet of Things (IoTs) for green buildings (GBs) has attracted significant attention from researchers and practitioners in the construction sector, few studies have investigated the barriers to its implementation. To bridge this gap, this study aimed to identify and analyze the barriers to the adoption of IoTs in GBs through the lens of seasoned experts in the Hong Kong construction sector. A hybrid of systematic reviews, expert interviews, and social network analysis was used. The results revealed that 26 barriers impede the adoption of IoTs within GBs, and these barriers can be categorized into seven clusters. The most significant barriers include “political/regulatory” and “security” categories; and “cybersecurity and data risks,” “concerns over the protection of intellectual property,” “fewer GB codes/regulations available,” “documentation requirements,” and “uncertain government policies and absence of government support.” These findings pave the way for relevant decision makers to adopt further productive measures to promote the adoption of IoT-based technologies in GBs, thereby expediting the application of the sustainability paradigm in the construction sector.
    publisherAmerican Society of Civil Engineers
    titleExamining the Barriers to the Adoption of IoT-Based Technologies in Green Buildings
    typeJournal Article
    journal volume151
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-14231
    journal fristpage04024211-1
    journal lastpage04024211-19
    page19
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003
    contenttypeFulltext
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