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Barriers to Using Cloud Computing in Sustainable Construction in Nigeria: A Fuzzy Synthetic Evaluation

Author

Listed:
  • Mazen M. Omer

    (Faculty of Civil Engineering Technology, Universiti Malaysia Pahang, Gambang 26300, Malaysia)

  • Ahmed Farouk Kineber

    (Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
    Department of Civil Engineering, Canadian International College (CIC), 6th October, Giza 3240001, Egypt)

  • Ayodeji Emmanuel Oke

    (Department of Quantity Surveying, Federal University of Technology, Akure 340106, Nigeria
    CIDB Centre of Excellence, Faculty of Engineering and Built Environment, University of Johannesburg, Johannesburg 2092, South Africa
    School of Social Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia)

  • Chukwuma Kingsley

    (Department of Quantity Surveying, Federal University of Technology, Akure 340106, Nigeria)

  • Ashraf Alyanbaawi

    (College of Science and Computer Engineering, Taibah University, Yanbu 46411, Saudi Arabia)

  • Ehab Farouk Rached

    (Islamic Architecture Department, Faculty of Engineering, Islamic Architecture UMM AL QURA University, Makkah 24382, Saudi Arabia)

  • Ali Elmansoury

    (Islamic Architecture Department, Faculty of Engineering, Islamic Architecture UMM AL QURA University, Makkah 24382, Saudi Arabia)

Abstract

This study aims to assess the barriers impeding cloud computing (CC) applicability in sustainable construction. A total of 11 barriers in the use of CC were identified for the literature review. A questionnaire survey was used to collect the data from construction stakeholders. In total, 101 valid responses were obtained and analyzed using mean ranking, normalized value (NV), overlapping analysis, Kruskal–Wallis H test, exploratory factor analysis (EFA), and fuzzy synthetic evaluation (FSE). The EFA extracted four interrelated components: social, economic, expertise, and connectivity. These components were exported for mathematical analyzing using the FSE technique. As a result, the FSE indicated that connectivity is the highest-impacted component, while the overall impact level of barriers is inclined to high regarding CC applicability in sustainable construction. This is due to other components having an average to high impact level. In this regard, the findings reflect the actual current status of developing countries in using CC in sustainable construction. These research findings will allow construction stakeholders to take proactive steps toward increasing the use of CC in their current and future sustainable construction. Decision-makers could also make accurate decisions that are well-informed in managing CC barriers. This paper provides stakeholders, researchers, and decision-makers with a list of CC barriers that hinder developing countries.

Suggested Citation

  • Mazen M. Omer & Ahmed Farouk Kineber & Ayodeji Emmanuel Oke & Chukwuma Kingsley & Ashraf Alyanbaawi & Ehab Farouk Rached & Ali Elmansoury, 2023. "Barriers to Using Cloud Computing in Sustainable Construction in Nigeria: A Fuzzy Synthetic Evaluation," Mathematics, MDPI, vol. 11(4), pages 1-20, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:4:p:1037-:d:1072711
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    References listed on IDEAS

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    2. Pragati Priyadarshinee & Manoj Kumar Jha & Rakesh D. Raut & Manoj Govind Kharat & Sachin S. Kamble, 2017. "To identify the critical success factors for cloud computing adoption by MCDM technique," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 24(4), pages 469-510.
    3. Ahmed Farouk Kineber & Ayodeji Emmanuel Oke & Ashraf Alyanbaawi & Abdurrahman Salihu Abubakar & Mohammed Magdy Hamed, 2022. "Exploring the Cloud Computing Implementation Drivers for Sustainable Construction Projects—A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(22), pages 1-31, November.
    4. Mazen M. Omer & Rahimi A. Rahman & Saud Almutairi, 2022. "Strategies for Enhancing Construction Waste Recycling: A Usability Analysis," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
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    1. Manideep Yenugula & Shankha Shubhra Goswami & Subramaniam Kaliappan & Rengaraj Saravanakumar & Areej Alasiry & Mehrez Marzougui & Abdulaziz AlMohimeed & Ahmed Elaraby, 2023. "Analyzing the Critical Parameters for Implementing Sustainable AI Cloud System in an IT Industry Using AHP-ISM-MICMAC Integrated Hybrid MCDM Model," Mathematics, MDPI, vol. 11(15), pages 1-35, August.

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