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Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods

The smart wearable device is a new breed of mobile device that offers diversified utilities for health, sport, and finance for consumers worldwide. The current study aims to investigate the provocation of the intention to use smart wearable payment devices among Malaysian consumers. The unified theo...

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Autores principales: Hayat, Naeem, Al Mamun, Abdullah, Salameh, Anas A., Ali, Mohd Helmi, Hussain, Wan Mohd Hirwani Wan, Zainol, Noor Raihani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485489/
https://www.ncbi.nlm.nih.gov/pubmed/36148091
http://dx.doi.org/10.3389/fpsyg.2022.863544
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author Hayat, Naeem
Al Mamun, Abdullah
Salameh, Anas A.
Ali, Mohd Helmi
Hussain, Wan Mohd Hirwani Wan
Zainol, Noor Raihani
author_facet Hayat, Naeem
Al Mamun, Abdullah
Salameh, Anas A.
Ali, Mohd Helmi
Hussain, Wan Mohd Hirwani Wan
Zainol, Noor Raihani
author_sort Hayat, Naeem
collection PubMed
description The smart wearable device is a new breed of mobile device that offers diversified utilities for health, sport, and finance for consumers worldwide. The current study aims to investigate the provocation of the intention to use smart wearable payment devices among Malaysian consumers. The unified theory of technology acceptance and use of technology (UTAUT) was employed with the cross-sectional survey-based data to explain the adoption of the smart wearable payment device. Furthermore, the UTAUT model was extended with trust and lifestyle compatibility factors to investigate smart wearable payment device adoption. The survey-based data were collected through the online survey and analyzed through the symmetrical modeling approach of partial least squares structural education modeling (PLS-SEM) to evaluate theoretical associations between the study constructs. The fuzzy set qualitative comparative analysis (fsQCA) was employed as an asymmetrical approach. As a result, it was found that the ease of use, lifestyle compatibility, and trust significantly impacted the intention to adopt smart wearable payment devices. However, social influence and facilitating conditions did not support the intention of adopting smart wearable payment devices. Adopting these devices requires policy and infrastructure development to harness the adoption of smart wearable payment devices. This paper is concluded with study limitations and future research suggestions.
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spelling pubmed-94854892022-09-21 Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods Hayat, Naeem Al Mamun, Abdullah Salameh, Anas A. Ali, Mohd Helmi Hussain, Wan Mohd Hirwani Wan Zainol, Noor Raihani Front Psychol Psychology The smart wearable device is a new breed of mobile device that offers diversified utilities for health, sport, and finance for consumers worldwide. The current study aims to investigate the provocation of the intention to use smart wearable payment devices among Malaysian consumers. The unified theory of technology acceptance and use of technology (UTAUT) was employed with the cross-sectional survey-based data to explain the adoption of the smart wearable payment device. Furthermore, the UTAUT model was extended with trust and lifestyle compatibility factors to investigate smart wearable payment device adoption. The survey-based data were collected through the online survey and analyzed through the symmetrical modeling approach of partial least squares structural education modeling (PLS-SEM) to evaluate theoretical associations between the study constructs. The fuzzy set qualitative comparative analysis (fsQCA) was employed as an asymmetrical approach. As a result, it was found that the ease of use, lifestyle compatibility, and trust significantly impacted the intention to adopt smart wearable payment devices. However, social influence and facilitating conditions did not support the intention of adopting smart wearable payment devices. Adopting these devices requires policy and infrastructure development to harness the adoption of smart wearable payment devices. This paper is concluded with study limitations and future research suggestions. Frontiers Media S.A. 2022-09-06 /pmc/articles/PMC9485489/ /pubmed/36148091 http://dx.doi.org/10.3389/fpsyg.2022.863544 Text en Copyright © 2022 Hayat, Al Mamun, Salameh, Ali, Hussain and Zainol. 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 Psychology
Hayat, Naeem
Al Mamun, Abdullah
Salameh, Anas A.
Ali, Mohd Helmi
Hussain, Wan Mohd Hirwani Wan
Zainol, Noor Raihani
Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods
title Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods
title_full Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods
title_fullStr Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods
title_full_unstemmed Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods
title_short Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods
title_sort exploring the smart wearable payment device adoption intention: using the symmetrical and asymmetrical analysis methods
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485489/
https://www.ncbi.nlm.nih.gov/pubmed/36148091
http://dx.doi.org/10.3389/fpsyg.2022.863544
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