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Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis

Wearable fitness devices (WFDs) are prevalent personal technology that empowers the users' management and supervision of their personal health. The current study explored the impact of health consciousness, health motivation, perceived cost, compatibility, usefulness, and perceived technology a...

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Autores principales: Yang, Qing, Al Mamun, Abdullah, Hayat, Naeem, Jingzu, Gao, Hoque, Mohammad Enamul, Salameh, Anas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301884/
https://www.ncbi.nlm.nih.gov/pubmed/35875013
http://dx.doi.org/10.3389/fpubh.2022.918989
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author Yang, Qing
Al Mamun, Abdullah
Hayat, Naeem
Jingzu, Gao
Hoque, Mohammad Enamul
Salameh, Anas A.
author_facet Yang, Qing
Al Mamun, Abdullah
Hayat, Naeem
Jingzu, Gao
Hoque, Mohammad Enamul
Salameh, Anas A.
author_sort Yang, Qing
collection PubMed
description Wearable fitness devices (WFDs) are prevalent personal technology that empowers the users' management and supervision of their personal health. The current study explored the impact of health consciousness, health motivation, perceived cost, compatibility, usefulness, and perceived technology accuracy with the intention to use the WFDs. Furthermore, the users' conspicuous consumption and intention promote the usage of WFDs. A cross-sectional and quantitative research design was utilized for the current study, followed by data collection through social media and a final analysis with 1,071 samples data. The data analysis was accomplished with the partial least square regression structural equation modeling. The findings of this study revealed that the users' level of health consciousness, perceived compatibility, usefulness, perceived cost, and technology accuracy significantly influenced the intention to use WFDs. However, the conspicuous consumption and intention indicated the support for the usage behavior of the WFDs. This behavior significantly moderated the relationship between the intention and usage behavior for the WFDs. This study contributed to the theoretical realm for prompting the intention to use the WFDs with personal protection motivation that depicts the coping strategy and technology level attributes that form the intention to use WFDs. The WFDs manufacturers should therefore focus on developing WFDs features that harness usage behavior among the adults. Developing the personal responsibility to reduce the burden of the healthcare system and taking care of personal health could promote the usage of the WFDs.
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spelling pubmed-93018842022-07-22 Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis Yang, Qing Al Mamun, Abdullah Hayat, Naeem Jingzu, Gao Hoque, Mohammad Enamul Salameh, Anas A. Front Public Health Public Health Wearable fitness devices (WFDs) are prevalent personal technology that empowers the users' management and supervision of their personal health. The current study explored the impact of health consciousness, health motivation, perceived cost, compatibility, usefulness, and perceived technology accuracy with the intention to use the WFDs. Furthermore, the users' conspicuous consumption and intention promote the usage of WFDs. A cross-sectional and quantitative research design was utilized for the current study, followed by data collection through social media and a final analysis with 1,071 samples data. The data analysis was accomplished with the partial least square regression structural equation modeling. The findings of this study revealed that the users' level of health consciousness, perceived compatibility, usefulness, perceived cost, and technology accuracy significantly influenced the intention to use WFDs. However, the conspicuous consumption and intention indicated the support for the usage behavior of the WFDs. This behavior significantly moderated the relationship between the intention and usage behavior for the WFDs. This study contributed to the theoretical realm for prompting the intention to use the WFDs with personal protection motivation that depicts the coping strategy and technology level attributes that form the intention to use WFDs. The WFDs manufacturers should therefore focus on developing WFDs features that harness usage behavior among the adults. Developing the personal responsibility to reduce the burden of the healthcare system and taking care of personal health could promote the usage of the WFDs. Frontiers Media S.A. 2022-07-06 /pmc/articles/PMC9301884/ /pubmed/35875013 http://dx.doi.org/10.3389/fpubh.2022.918989 Text en Copyright © 2022 Yang, Al Mamun, Hayat, Jingzu, Hoque and Salameh. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Yang, Qing
Al Mamun, Abdullah
Hayat, Naeem
Jingzu, Gao
Hoque, Mohammad Enamul
Salameh, Anas A.
Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
title Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
title_full Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
title_fullStr Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
title_full_unstemmed Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
title_short Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
title_sort modeling the intention and adoption of wearable fitness devices: a study using sem-pls analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301884/
https://www.ncbi.nlm.nih.gov/pubmed/35875013
http://dx.doi.org/10.3389/fpubh.2022.918989
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