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Exploring the Cloud Computing Implementation Drivers for Sustainable Construction Projects—A Structural Equation Modeling Approach

Author

Listed:
  • Ahmed Farouk Kineber

    (Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia)

  • Ayodeji Emmanuel Oke

    (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)

  • Abdurrahman Salihu Abubakar

    (Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM, Serdang 43400, Selangor, Malaysia)

  • Mohammed Magdy Hamed

    (Construction and Building Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), B 2401 Smart Village, Giza 12577, Egypt
    Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudia 81310, Johor, Malaysia)

Abstract

Sustainability aspects should be adopted during all the decision-making stages of executing construction projects to gain maximum benefits without compromising the objective of such projects. Cloud computing has been a valuable tool for sustainable construction success in several countries over the last two decades. Cloud computing and its drivers have undoubtedly improved the sustainable success target of cost, quality, and time. However, cloud computing implementation in Nigeria’s construction industry is minimal. Consequently, the study aims to generate a decision support model to support a cloud computing implementation by looking into the relationship between cloud computing drivers and construction activities in Nigeria. This study’s data was obtained from previous literature and quantitatively augmented with a questionnaire survey. The data was obtained from questionnaires administered to one hundred and four construction practitioners in Lagos State. Thus, exploratory factor analysis (EFA) was used to validate the questionnaire survey results. However, to assess and validate the factors (drivers) constructed and analyze the relationships between cloud computing drivers and construction activities, partial least square structural equation modelling (PLS-SEM) method was used. An analysis of construction project activities was carried out through EFA, and it generated five main components: pre-contract stage, management, design and storage, estimation and communications, and finally, back-office activities. The study indicated that the implementation of cloud computing drivers had a significant impact on construction activities. The findings also revealed a weak relationship between cloud computing implementation and construction activities, with a 0.087 percent impact. Furthermore, the findings indicate that human satisfaction is the primary factor influencing cloud computing deployment, followed by organization, client acceptance, and industry-based factors. The significance of the findings can be used as a reference or standard for decision-makers to base their decisions on the cost efficiency of cloud computing and its capability to boost efficiency in the construction sector. This research contributes to current construction engineering management by enhancing knowledge of cloud computing implementation drivers and their implications on construction activities.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14789-:d:967970
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    References listed on IDEAS

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    Cited by:

    1. Ahmed Farouk Kineber & Ernest Kissi & Mohammed Magdy Hamed, 2022. "Identifying and Assessing Sustainability Implementation Barriers for Residential Building Project: A Case of Ghana," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    2. 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.
    3. Ahmed Farouk Kineber & Maxwell Fordjour Antwi-Afari & Faris Elghaish & Ahmad M. A. Zamil & Mohammad Alhusban & Thikryat Jibril Obied Qaralleh, 2023. "Benefits of Implementing Occupational Health and Safety Management Systems for the Sustainable Construction Industry: A Systematic Literature Review," Sustainability, MDPI, vol. 15(17), pages 1-35, August.
    4. El-Awady Attia & Ali Alarjani & Md. Sharif Uddin & Ahmed Farouk Kineber, 2023. "Determining the Stationary Enablers of Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    5. Ahmed Farouk Kineber & Md Sharif Uddin & Alaa Fouad Momena, 2022. "Exploring the Critical Success Factors of Value Management Implementation for Sustainable Residential Building Project: A Stationary Analysis Approach," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    6. Ahmed Farouk Kineber & Ayodeji Oke & Mohammed Magdy Hamed & Ashraf Alyanbaawi & Ali Elmansoury & Ahmed Osama Daoud, 2023. "Decision Making Model for Identifying the Cyber Technology Implementation Benefits for Sustainable Residential Building: A Mathematical PLS-SEM Approach," Sustainability, MDPI, vol. 15(3), pages 1-19, January.

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