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DOI: 10.14569/IJACSA.2020.0111264
PDF

Determinants towards a Better Acceptance Model of IoT in KSA and Eradication of Distrust in Omnipresent Environments

Author 1: Abdulaziz A. Albesher
Author 2: Adeeb Alhomoud

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 12, 2020.

  • Abstract and Keywords
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Abstract: This paper highlights several of the key determinants that play a vital role in the acceptance of Internet of Things (IoT) technologies in the Kingdom of Saudi Arabia (KSA). Based on the governmental focus towards technology and the response of the citizens towards embracing new technologies, several determining factors are presented. Certain essential application areas of IoT are analyzed including the local industry, agriculture and livestock, health, education, smart metropolitans and smart government. In addition, we also explore acceptance at the personal level, such as home and privacy of individuals, security, and personal management with IoT wearables. Towards the end of this paper, some challenges of the IoT acceptance are presented along with the analysis of key enablers. All the rationalizations lead to the conclusion that IoT acceptance is inevitable based on the number of associated benefits which will enhance once the posed challenges are addressed.

Keywords: Internet of Things (IoT); security; health; IoT acceptance; smart cities

Abdulaziz A. Albesher and Adeeb Alhomoud, “Determinants towards a Better Acceptance Model of IoT in KSA and Eradication of Distrust in Omnipresent Environments” International Journal of Advanced Computer Science and Applications(IJACSA), 11(12), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111264

@article{Albesher2020,
title = {Determinants towards a Better Acceptance Model of IoT in KSA and Eradication of Distrust in Omnipresent Environments},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111264},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111264},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {12},
author = {Abdulaziz A. Albesher and Adeeb Alhomoud}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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