E-Payment Adoption

The usage rate of Point-of-Sale (POS) e-payment services in Vietnam is still relatively low compared to other methods, despite their importance in daily e-commerce activities. This study presents a structural model for e-payment adoption specifically for POS. The model integrates various technology adoption theories of Technology Acceptance Model (TAM); Unified Theory of Acceptance and Use of Technology (UTAUT), as well as concepts such as perceived benefits, perceived risk, and trust. Data was collected from 195 participants who have used or intend to use POS for e-payment and analyzed using the Partial Least Squares–Structural Equation Modeling (PLS–SEM) method. The research findings demonstrated that factors of facilitating conditions, perceived benefits, effort expectancy, social influence, trust, and perceived risk have a significant structural relationship with e-payment adoption via POS. The study also provides insights for managers to enhance the acceptance and use of e-payment via POS and contributes to the exploration of factors influencing e-payment adoption in general.

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Publication Details

Journal
International Journal of E-Business Research
Published
2024-11-23
DOI
https://doi.org/10.4018/ijebr.361595
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

E-Payment Adoption

Thanh D. Nguyen, Long D. To
International Journal of E-Business Research
Technology Adoption and User Behaviour
article

E-Payment Adoption

Thanh D. Nguyen, Long D. To
article en

Abstract

The usage rate of Point-of-Sale (POS) e-payment services in Vietnam is still relatively low compared to other methods, despite their importance in daily e-commerce activities. This study presents a structural model for e-payment adoption specifically for POS. The model integrates various technology adoption theories of Technology Acceptance Model (TAM); Unified Theory of Acceptance and Use of Technology (UTAUT), as well as concepts such as perceived benefits, perceived risk, and trust. Data was collected from 195 participants who have used or intend to use POS for e-payment and analyzed using the Partial Least Squares–Structural Equation Modeling (PLS–SEM) method. The research findings demonstrated that factors of facilitating conditions, perceived benefits, effort expectancy, social influence, trust, and perceived risk have a significant structural relationship with e-payment adoption via POS. The study also provides insights for managers to enhance the acceptance and use of e-payment via POS and contributes to the exploration of factors influencing e-payment adoption in general.

International Journal of E-Business ResearchVol. 20(1)
Ho Chi Minh University of Banking (VN), The State Bank of Vietnam (VN)
Partnerships for the goals
Openalex Percentile: Top 75%
Technology Adoption and User Behaviour
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