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Abstract

The purpose of this article is to estimate the factors influencing on electronic payment decisions
of customers at AnGiang convenience stores. Through primary data collected from 258 customers buying
goods at convenience stores in AnGiang province in the period from June to September 2020. The article
uses Probit regression method to Estimating the influence of factors on customers’ e-payment decisions.
The results show that the model have high statistically significant. At the same time, there are two factors
which having negative coefficients at the 5% significance level include education and customer age; and
three factors which having positive coefficients at the 1%, 5%, and 10% significance levels, respectively
include client residence, income, and occupation. Based on the findings, the article proposes some solutions
to aid in the development of non-cash payments at AnGiang convenience stores.