The impact of the adoption of Internet of Things privacy awareness model in Saudi Arabia: an experimental study

Aleisa, Noura (2019) The impact of the adoption of Internet of Things privacy awareness model in Saudi Arabia: an experimental study. PhD thesis, University of Glasgow.

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This study is designed to present an Internet of Things (IoT) privacy-awareness model and to look at the impact of the adoption of that Internet of Things (IoT) privacy awareness model in Saudi Arabia. Some developers have assumed that IoT users are aware of privacy issues related to IoT and that they will adopt new applications or techniques proposed to protect IoT users' privacy. This study has presented an approach to enhance IoT privacy awareness and to measure the impact of the adoption of IoT privacy-preserving techniques. To better understand the effectiveness of awareness and the impact of this adoption, trust, concern for information privacy, and response to privacy invasion have all been investigated. The main Research Question of this study is: To what extent consumers in Saudi Arabia are aware of potential IoT privacy violations and, if they do become aware, would they value and use a tool that explicitly prevents privacy invasions perpetrated by IoT devices? To address the factors impacting on the adoption of the privacy-awareness model, an experimental study was designed to increase the awareness of the participants about these privacy issues, and to measure the impacts on any intentions to use a privacy-preserving technique by measuring the participants level of trust and their privacy concerns. The population of this study was Saudi adult consumers of smart devices because Saudi Arabia is newly engaged in many Internet-connected projects, and there are no existing privacy or data protection laws. The study concludes that although there is a statistically significant impact of IoT privacy awareness on the adoption of a privacy-preserving technique, it is not the predominant factor, and consumers often trade privacy for convenience. The study finishes by providing ten recommendations to enhance future studies in this area.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: Privacy, IoT, Internet of Things, awareness, trust, privacy-preserving, data privacy, smart device, data privacy law.
Colleges/Schools: College of Science and Engineering > School of Computing Science
Supervisor's Name: Mackenzie, Dr. Lewis and Renaud, Prof. Karen
Date of Award: 2019
Embargo Date: 1 December 2022
Depositing User: Unnamed user with email
Unique ID: glathesis:2019-75138
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 05 Nov 2019 11:02
Last Modified: 04 Mar 2020 14:02
Thesis DOI: 10.5525/gla.thesis.75138
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