Abstract
The Internet of Things (IoT) has gained a huge importance in the recent years among the other latest Internet evolutions. Internet of Things aims to provide people with the innovative and intelligent technologies and services where all the physical objects around their world are connected to the Internet and communicate with each other. IoT products and services span several fields such as, healthcare, hospitality, transport, infrastructure, education and frontline social services. Trust plays a crucial role in the adoption of Internet of things technologies and services for ensuring a satisfactory and expected transaction result. It helps customers to overcome perception of risk and uncertainty related to IoT technology and enhances the customers’ level of acceptance that have a positive impact in adoption intention. However, current literature of the IoT services still lacks studies on the behavioral aspect that clarify the perception of customers about the adoption and usage of the IoT technologies and services. In this paper, we develop a conceptual trust model that contains the major factors affecting trust towards IoT technology adoption. The model is presented in three domains and 11 dimensions and designed based on the theory of Technology Acceptance Model (TAM). The result of this paper is a conceptual framework that classified the factors into three main domains, namely: product related factors, Social influence related factors and Security Related Factors. This framework aims to serve as a foundation for future studies about trust in IoT technology adoption.
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AlHogail, A., AlShahrani, M. (2019). Building Consumer Trust to Improve Internet of Things (IoT) Technology Adoption. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_33
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DOI: https://doi.org/10.1007/978-3-319-94866-9_33
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