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Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review

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  • Radhwan Sneesl

    (Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
    College of Science, University of Basrah, Basrah 61001, Iraq
    These authors contributed equally to this work.)

  • Yusmadi Yah Jusoh

    (Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
    These authors contributed equally to this work.)

  • Marzanah A. Jabar

    (Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
    These authors contributed equally to this work.)

  • Salfarina Abdullah

    (Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
    These authors contributed equally to this work.)

Abstract

Smart education and the sustainable development of smart campuses have drawn significant research attention. This is enabled by intelligent devices that are widely attracting massive applicability in personal and big business contexts and can increase efficiency and convenience. This paper aims to present a solution to address the lack of a proper adoption model for smart campus initiatives. The evaluation and synthesis of the literature were conducted by following the systematic literature review (SLR) procedure. The study’s findings revealed the taxonomy and IoT technologies leading to the wide adoption of IoT-based smart campuses. The technology adoption models and their corresponding variables help the authors identify and classify a suitable adoption framework for smart campuses. The limitations and challenges of adoption theories as they pertain to smart campuses are discussed. Finally, the study adapts perceived scalability, perceived replicability, perceived reliability, perceived privacy and security, perceived trust, the cost of deployment, usefulness, enjoyment, and technicality as adoption factors of sustainable smart campuses. This study offers practical and theoretical implications regarding the adoption and propagation of emerging smart campuses.

Suggested Citation

  • Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah, 2022. "Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review," Sustainability, MDPI, vol. 14(8), pages 1-27, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4840-:d:796282
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    1. Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah & Umar Ali Bukar, 2022. "Factors Affecting the Adoption of IoT-Based Smart Campus: An Investigation Using Analytical Hierarchical Process (AHP)," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    2. Javed Ali & Syed Hamid Hussain Madni & Mohd Shamim Ilyas Jahangeer & Muhammad Abdullah Ahmed Danish, 2023. "IoT Adoption Model for E-Learning in Higher Education Institutes: A Case Study in Saudi Arabia," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

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