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Investigating the Barriers to Applying the Internet-of-Things-Based Technologies to Construction Site Safety Management

Author

Listed:
  • Sanaz Tabatabaee

    (Green Cities and Construction Research Group, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia)

  • Saeed Reza Mohandes

    (Department of Building and Real Estate (BRE), Faculty of Construction and Environment (FCE), The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • Rana Rabnawaz Ahmed

    (Department of Civil Engineering, NED University of Engineering & Technology, Karachi 75270, Pakistan)

  • Amir Mahdiyar

    (School of Housing, Building and Planning, Universiti Sains Malaysia, Gelugor 11800, Malaysia)

  • Mehrdad Arashpour

    (Department of Civil Engineering, Clayton Campus, Monash University, Melbourne, VIC 3800, Australia)

  • Tarek Zayed

    (Department of Building and Real Estate (BRE), Faculty of Construction and Environment (FCE), The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • Syuhaida Ismail

    (Green Cities and Construction Research Group, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia)

Abstract

The utilization of Internet-of-Things (IoT)-based technologies in the construction industry has recently grabbed the attention of numerous researchers and practitioners. Despite the improvements made to automate this industry using IoT-based technologies, there are several barriers to the further utilization of these leading-edge technologies. A review of the literature revealed that it lacks research focusing on the obstacles to the application of these technologies in Construction Site Safety Management (CSSM). Accordingly, the aim of this research was to identify and analyze the barriers impeding the use of such technologies in the CSSM context. To this end, initially, the extant literature was reviewed extensively and nine experts were interviewed, which led to the identification of 18 barriers. Then, the fuzzy Delphi method (FDM) was used to calculate the importance weights of the identified barriers and prioritize them through the lenses of competent experts in Hong Kong. Following this, the findings were validated using semi-structured interviews. The findings showed that the barriers related to “productivity reduction due to wearable sensors”, “the need for technical training”, and “the need for continuous monitoring” were the most significant, while “limitations on hardware and software and lack of standardization in efforts,” “the need for proper light for smooth functionality”, and “safety hazards” were the least important barriers. The obtained findings not only give new insight to academics, but also provide practical guidelines for the stakeholders at the forefront by enabling them to focus on the key barriers to the implementation of IoT-based technologies in CSSM.

Suggested Citation

  • Sanaz Tabatabaee & Saeed Reza Mohandes & Rana Rabnawaz Ahmed & Amir Mahdiyar & Mehrdad Arashpour & Tarek Zayed & Syuhaida Ismail, 2022. "Investigating the Barriers to Applying the Internet-of-Things-Based Technologies to Construction Site Safety Management," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:868-:d:723899
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    References listed on IDEAS

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    1. Haleh Sadeghi & Saeed Reza Mohandes & M. Reza Hosseini & Saeed Banihashemi & Amir Mahdiyar & Arham Abdullah, 2020. "Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects," IJERPH, MDPI, vol. 17(22), pages 1-25, November.
    2. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos M.Taboada & Campos, Lucila M.S., 2016. "Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 182-197.
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    1. Peter Schnell & Phillip Haag & Hans Christian Jünger, 2022. "Implementation of Digital Technologies in Construction Companies: Establishing a Holistic Process which Addresses Current Barriers," Businesses, MDPI, vol. 3(1), pages 1-18, December.
    2. Lihong Zhang & Saeed Reza Mohandes & Jiawei Tong & Mohamed Abadi & Saeed Banihashemi & Binchao Deng, 2023. "Sustainable Project Governance: Scientometric Analysis and Emerging Trends," Sustainability, MDPI, vol. 15(3), pages 1-27, January.

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