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Scientific Article details

Title Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review
ID_Doc 74948
Authors Sneesl, R; Jusoh, YY; Jabar, MA; Abdullah, S
Title Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review
Year 2022
Published Sustainability, 14, 8
DOI 10.3390/su14084840
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.
Author Keywords smart campus; IoT; sustainability; adoption; SLR; factors
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000785200200001
WoS Category Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
PDF https://www.mdpi.com/2071-1050/14/8/4840/pdf?version=1650279097
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