Abstract
The Internet of things (IoT) is realised as a potentially effective means of integrating multiple technologies to improve the quality of people’s life and offering interesting and advantageous new services to individuals. However, it has emerged that consumers’ acceptance of IoT is currently low despite its huge economic potentials and impacts, as well as high investment from the private and public sectors. Yet, few studies have investigated the perspectives of the users on IoT. Specifically, only a few empirical researches had examined the determinants of IoT service adoption from the user’s perspective and research model were still not fully developed. Hence, there is a dearth of empirical research on IoT adoption in Malaysia. Therefore, this research aims to develop an integrative model of factors influencing users’ acceptance of IoT. The research applied an integrated model from the combine theories of technology acceptance model (TAM), and the theory of perceived risk. The research hope to provide useful insight into the key driving factors with regard to understanding consumers’ behavioural intention to use the IoT.
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Acknowledgement
This research is supported by Universiti Sains Malaysia through the USM Bridging Grant 2017 [A/C Number: 304.PKOMP.6316001].
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Baba, N.M., Baharudin, A.S. (2020). Determinants of Users’ Intention to Use IoT: A Conceptual Framework. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_92
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