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Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model

This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of...

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Detalles Bibliográficos
Autores principales: Yang, Cheng-Chia, Yang, Shang-Yu, Chang, Yu-Chia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859444/
https://www.ncbi.nlm.nih.gov/pubmed/36674145
http://dx.doi.org/10.3390/ijerph20021391
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author Yang, Cheng-Chia
Yang, Shang-Yu
Chang, Yu-Chia
author_facet Yang, Cheng-Chia
Yang, Shang-Yu
Chang, Yu-Chia
author_sort Yang, Cheng-Chia
collection PubMed
description This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of 365 questionnaires were collected from older adults aged 55 years or older from 20 community care sites in central Taiwan. Partial least-squares structural equation modeling was used to test our research model. The results showed that attitude was the main determinant of M-payment in older adults. Moreover, increasing the usefulness, ease of use, and observability of M-payment helped older adults improve their attitudes toward M-payment, thereby increasing their intention to use it. Trust had a significant effect on the usefulness and ease of use of M-payment, while the main factors affecting trust were only performance and financial risks.
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spelling pubmed-98594442023-01-21 Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model Yang, Cheng-Chia Yang, Shang-Yu Chang, Yu-Chia Int J Environ Res Public Health Article This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of 365 questionnaires were collected from older adults aged 55 years or older from 20 community care sites in central Taiwan. Partial least-squares structural equation modeling was used to test our research model. The results showed that attitude was the main determinant of M-payment in older adults. Moreover, increasing the usefulness, ease of use, and observability of M-payment helped older adults improve their attitudes toward M-payment, thereby increasing their intention to use it. Trust had a significant effect on the usefulness and ease of use of M-payment, while the main factors affecting trust were only performance and financial risks. MDPI 2023-01-12 /pmc/articles/PMC9859444/ /pubmed/36674145 http://dx.doi.org/10.3390/ijerph20021391 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Cheng-Chia
Yang, Shang-Yu
Chang, Yu-Chia
Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model
title Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model
title_full Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model
title_fullStr Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model
title_full_unstemmed Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model
title_short Predicting Older Adults’ Mobile Payment Adoption: An Extended TAM Model
title_sort predicting older adults’ mobile payment adoption: an extended tam model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859444/
https://www.ncbi.nlm.nih.gov/pubmed/36674145
http://dx.doi.org/10.3390/ijerph20021391
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