The Analysis of Factors Influencing Digital Payment in Cambodia

Siphat Lim, Ediri O. Anderson
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引用次数: 0

Abstract

This research aimed to investigate the factors influencing digital payment systems in Cambodia. To provide a comprehensive explanation of the factors that significantly affect digital payment usage, the analyzing model of the Structural Equation Model (SEM) was employed. We established twenty-five items to predict five unobserved constructs: Behavioral Intention, Ease of Use, Social Influences, Risk, and Trust. The Confirmative Factor Analysis (CFA) indicated that among the constructs, the Risk factor was the only factor eliminated. Given that its factor loading is less than 0.5. Besides, we employed the estimated method of the Maximum Likelihood Estimation (MLE) regression model in this study. The model estimated result instituted that among the four observed constructs, the Ease of Use and the Social Influence factors were found to have a significant favourable influence on the people's Behavioral Intention in using Mobile Banking Applications and Internet Banking in Cambodia. The null hypothesis of the Ease of Use and the Social Influence constructs were rejected at 1 percent and 10 percent levels, respectively. In contrast, the other two constructs, the Risk and Trust factors, were insignificant with B.I. Giving both their null hypothesis construct elements had no significant impact on the BI and were rejected at 5 percent level.
柬埔寨数字支付影响因素分析
本研究旨在调查影响柬埔寨数字支付系统的因素。为了全面解释影响数字支付使用的因素,本文采用了结构方程模型(SEM)的分析模型。我们建立了25个项目来预测5个未观察到的构念:行为意图、易用性、社会影响、风险和信任。确认性因子分析(CFA)表明,在构念中,风险因素是唯一被消除的因素。假设其因子载荷小于0.5。此外,本研究采用了极大似然估计(MLE)回归模型的估计方法。模型估计结果表明,在四个观察到的结构中,易用性和社会影响因素被发现对柬埔寨人使用移动银行应用程序和互联网银行的行为意愿有显著的有利影响。易用性和社会影响构念的零假设分别在1%和10%的水平上被拒绝。相比之下,其他两个构念,风险和信任因素,对BI不显著,因为它们的零假设构念元素对BI没有显著影响,并且在5%的水平上被拒绝。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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