This article aims to review the influencing factors and their relationships to the adoption of IoT technologies in the education domain among undergraduate students in Saudi public universities. The purpose of this study is to propose a framework using UTAUT to increase IoT acceptance. Previous studies found that performance expectancy, effort expectancy, social influence, and facilitating conditions have significant predictors of IoT acceptance. However, other studies found that not all UTAUT variables are significant predictors of IoT acceptance such as effort expectancy. There are three research gaps identified through previous studies, field issues, and theory and model. First, there is a lack of studies in consumers’ adoption of IoT technologies. Second, there is a lack of user acceptance of IoT technologies. Third, there is a lack of confident and uncertainty caused by new technologies. A quantitative method approach will be used. The online questionnaire survey well be sent to 300 undergraduate students of the selected public university. The Partial Least Square-Structural Equation Modelling (PLS-SEM) will be used to analyse the collected data.
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In-Text Citation: (Almetere et al., 2020)
To Cite this Article: Almetere, E. S., Kelana, B. W. Y., & Mansor, N. N. A. (2020). Using UTAUT Model to Determine Factors Affecting Internet of Things Acceptance in Public Universities. International Journal of Academic Research in Business and Social Sciences, 10(2), 142–150.
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