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Understanding Wearable Device Adoption: Review on Adoption Factors and Directions for Further Research in Smart Healthcare

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dc.citedby1
dc.contributor.authorHossain M.I.en_US
dc.contributor.authorYusof A.F.en_US
dc.contributor.authorShanmugam M.en_US
dc.contributor.authorid57260218300en_US
dc.contributor.authorid55433621000en_US
dc.contributor.authorid36195134500en_US
dc.date.accessioned2023-05-29T09:41:09Z
dc.date.available2023-05-29T09:41:09Z
dc.date.issued2022
dc.descriptionBlood; Glucose; Internet of things; Wearable technology; Adoption factors; Adoption model; Blood glucose; Blood glucose monitoring; Paper analysis; Smart healthcare adoption; Smart wearables; Trustworthiness; Wearable devices; Wearable healthcare device; Health careen_US
dc.description.abstractThis 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. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-98741-1_54
dc.identifier.epage662
dc.identifier.scopus2-s2.0-85127908407
dc.identifier.spage651
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85127908407&doi=10.1007%2f978-3-030-98741-1_54&partnerID=40&md5=09f3c6276ff6974077629fa44ebbe668
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27219
dc.identifier.volume127
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes on Data Engineering and Communications Technologies
dc.titleUnderstanding Wearable Device Adoption: Review on Adoption Factors and Directions for Further Research in Smart Healthcareen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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