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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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FACTORS INFLUENCING THE DECISION TO USE CASHLESS PAYMENTS ON SELECTED E-COMMERCE PLATFORMS: A STUDY IN HANOI

Authors: Do Minh Long1* and Hoang Thi Tra My2;

FACTORS INFLUENCING THE DECISION TO USE CASHLESS PAYMENTS ON SELECTED E-COMMERCE PLATFORMS: A STUDY IN HANOI

Abstract

E-commerce activities, particularly transactions conducted on digital platforms, are experiencing significant growth both globally and in Vietnam. In this context, cashless payments are increasingly seen as an inevitable trend that enhances transaction efficiency and is widely promoted for adoption. This study aims to assess the current situation and identify the key factors influencing consumers' decisions to adopt cashless payment methods on e-commerce platforms, with Hanoi selected as the research site. Data were collected through a random sampling method using a structured questionnaire distributed to 300 individuals in Hanoi. The collected data were processed and analyzed using SmartPLS software, employing exploratory factor analysis (EFA), reliability testing, and structural equation modeling (SEM) to evaluate the impact of various factors on the adoption of cashless payments. The SEM analysis results reveal two major groups of factors that significantly influence consumers’ decisions to accept cashless payments on e-commerce platforms in Hanoi. Based on these findings, the study proposes several practical solutions to assist e-commerce businesses in promoting the acceptance of cashless payments in Hanoi in the near future.

Keywords

Payment decision, cashless payment, e-commerce platform.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average