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Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare

Continuous Glucose Monitoring Systems (CGMs) device is the most developed technology, which has reshaped manual diabetes management with smart features having sensor, transmitter and monitor. However, the number of users for CGMs device is still very low compared to existing manual systems although...

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Main Authors: Hossain, M. I., Yusof, A. F., Che Hussin, A. R., A. Lahad, N., Sadiq, A. S.
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/95118/1/AhmadFadhilYusof2021_FactorsInfluencingAdoptionModel.pdf
http://eprints.utm.my/id/eprint/95118/
http://dx.doi.org/10.1016/j.iot.2020.100353
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spelling my.utm.951182022-04-29T22:02:21Z http://eprints.utm.my/id/eprint/95118/ Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare Hossain, M. I. Yusof, A. F. Che Hussin, A. R. A. Lahad, N. Sadiq, A. S. QA75 Electronic computers. Computer science Continuous Glucose Monitoring Systems (CGMs) device is the most developed technology, which has reshaped manual diabetes management with smart features having sensor, transmitter and monitor. However, the number of users for CGMs device is still very low compared to existing manual systems although this device provides a smart landmark in blood glucose monitoring for diabetes management. Consequently, the aspire of the assessment is to explore the factors that influence users’ intention to adopt CGMs device on the Internet of Things (IoT) based healthcare. This paper provides an adoption model for CGMs device by integrating some factors from different theories in existing studies of wearable healthcare devices. The proposed adoption model also examines current factors as a guideline for the users to adopt the CGMs device. We have collected data from 97 actual CGMs device users. Partial least square and structural equation modelling were involved for measurement and structural model assessment of this study. The experiential study specifies that interpersonal influence and trustworthiness are the strong predictors of attitude toward a wearable device, which shows significant relationships to use for CGMs device's adoption. Personal innovativeness shows no significant relationship with attitude toward a wearable device. Besides, self-efficacy has no direct influence on a person's health interest where heath interest directly influences users’ intention to use CGMs device. Moreover, perceived value is not found to be significant for measuring intention to use CGMs devices. The results from this research provide suggestions for the developers to ensure users’ intention to adopt CGMs device. Elsevier B.V. 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/95118/1/AhmadFadhilYusof2021_FactorsInfluencingAdoptionModel.pdf Hossain, M. I. and Yusof, A. F. and Che Hussin, A. R. and A. Lahad, N. and Sadiq, A. S. (2021) Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare. Internet of Things (Netherlands), 15 . ISSN 2542-6605 http://dx.doi.org/10.1016/j.iot.2020.100353 DOI: 10.1016/j.iot.2020.100353
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hossain, M. I.
Yusof, A. F.
Che Hussin, A. R.
A. Lahad, N.
Sadiq, A. S.
Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
description Continuous Glucose Monitoring Systems (CGMs) device is the most developed technology, which has reshaped manual diabetes management with smart features having sensor, transmitter and monitor. However, the number of users for CGMs device is still very low compared to existing manual systems although this device provides a smart landmark in blood glucose monitoring for diabetes management. Consequently, the aspire of the assessment is to explore the factors that influence users’ intention to adopt CGMs device on the Internet of Things (IoT) based healthcare. This paper provides an adoption model for CGMs device by integrating some factors from different theories in existing studies of wearable healthcare devices. The proposed adoption model also examines current factors as a guideline for the users to adopt the CGMs device. We have collected data from 97 actual CGMs device users. Partial least square and structural equation modelling were involved for measurement and structural model assessment of this study. The experiential study specifies that interpersonal influence and trustworthiness are the strong predictors of attitude toward a wearable device, which shows significant relationships to use for CGMs device's adoption. Personal innovativeness shows no significant relationship with attitude toward a wearable device. Besides, self-efficacy has no direct influence on a person's health interest where heath interest directly influences users’ intention to use CGMs device. Moreover, perceived value is not found to be significant for measuring intention to use CGMs devices. The results from this research provide suggestions for the developers to ensure users’ intention to adopt CGMs device.
format Article
author Hossain, M. I.
Yusof, A. F.
Che Hussin, A. R.
A. Lahad, N.
Sadiq, A. S.
author_facet Hossain, M. I.
Yusof, A. F.
Che Hussin, A. R.
A. Lahad, N.
Sadiq, A. S.
author_sort Hossain, M. I.
title Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
title_short Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
title_full Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
title_fullStr Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
title_full_unstemmed Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
title_sort factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare
publisher Elsevier B.V.
publishDate 2021
url http://eprints.utm.my/id/eprint/95118/1/AhmadFadhilYusof2021_FactorsInfluencingAdoptionModel.pdf
http://eprints.utm.my/id/eprint/95118/
http://dx.doi.org/10.1016/j.iot.2020.100353
_version_ 1732945434354122752
score 13.211869

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