2016
DOI: 10.11591/ijece.v6i4.10546
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Behavioral Intention to Use IoT Health Device: The Role of Perceived Usefulness, Facilitated Appropriation, Big Five Personality Traits, and Cultural Value Orientations

Abstract: As one of the biggest technology breakthrough, Internet of Things (IoT) has been gaining much attention in every industry it’s involved in. Especially in the healthcare sector, IoT health devices have been proved to have a great impact on individual’s health regulation. Through many beneficial features from tracking sleep patterns to tracking chemicals in the blood, individuals will gain a better understanding of their body and how to keep it healthy. However, great benefit is one thing, and it does not immedi… Show more

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Cited by 23 publications
(26 citation statements)
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References 31 publications
(53 reference statements)
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“…He or she will be likely to focus on what will go wrong and experience technology anxiety. In one study that involves same variables but in the context of students, we hypothesized that personality traits (the Big Five) are indirect predictors of behavioral intention to use IoT health device through perceived usefulness (Prayoga & Abraham, 2016). However, the result showed otherwise.…”
Section: Personality and Cultural Valuesmentioning
confidence: 99%
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“…He or she will be likely to focus on what will go wrong and experience technology anxiety. In one study that involves same variables but in the context of students, we hypothesized that personality traits (the Big Five) are indirect predictors of behavioral intention to use IoT health device through perceived usefulness (Prayoga & Abraham, 2016). However, the result showed otherwise.…”
Section: Personality and Cultural Valuesmentioning
confidence: 99%
“…This model is integral in our discussion of technology acceptance. This model have been doing great in predicting and explaining technology acceptance in a wide range of area not only in IoT, but from Cloud Computing (Eltayeb & Dawson, 2016), to mobile technology (Kim, Gajos, Muller, & Grosz, 2016) and e-learning platform (Al-Azawei, Parslow, & Lundqvist, 2016), and even health trackers (Prayoga & Abraham, 2016). In this chapter, we are going to talk about what the model has to offer, and all possible frequently used factors to compliment TAM for a better understanding of IoT Acceptance.…”
Section: The Variablesmentioning
confidence: 99%
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