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Understanding wearable device adoption: Review on adoption factors and directions for further research in smart healthcare

Hossain, Md. Ismail and Yusof, Ahmad Fadhil and Shanmugam, Mohana (2022) Understanding wearable device adoption: Review on adoption factors and directions for further research in smart healthcare. Lecture Notes on Data Engineering and Communications Technologies, 127 (NA). pp. 651-662. ISSN 2367-4512

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Official URL: http://dx.doi.org/10.1007/978-3-030-98741-1_54

Abstract

This paper analyses prior literature that identify adoption model for smart wearable healthcare devices. This assessment aims to contribute and identify factors that enable users to adopt wearable devices in the Internet of Things (IoT) based healthcare to monitor blood glucose measuring. This study has set off in quest of research in IoT smart healthcare focusing on blood glucose monitoring based on previous studies on wearable devices for smart healthcare. The key aim of this paper is to provide a summary of published articles and to find the current factors leading to the adoption of wearable devices for smart healthcare. The authors guided a systematic review of wearable devices in smart healthcare to explore the factors of adopting smart healthcare devices. 55 studies were analyzed where 21 studies directly address wearable devices, adoption models, and also IoT systems. Most of the studies covered a few factors, namely Interpersonal Influence, Self-efficiency, Individual Innovativeness, Attitude toward wearable devices, Self-interest, Perceived Expensiveness, and Perceived Usefulness in a wearable fitness tracker or monitoring. Findings show that the effect of trustworthiness has a very extensive potential to be explored to improve the model prediction to measure the adoption of IoT wearable devices in smart healthcare as well as blood glucose monitoring.

Item Type:Article
Uncontrolled Keywords:Adoption factors, Smart healthcare adoption, Trustworthiness, Wearable healthcare device
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:99750
Deposited By: Widya Wahid
Deposited On:19 Mar 2023 10:29
Last Modified:19 Mar 2023 10:29

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