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Mobile Payment As Financial Transactions In The Digital Era: An Empirical Analysis

机译:数字时代作为金融交易的移动支付:一项实证分析

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The utilization of the development of the digital economy today has changed people's behaviour in almost all aspects of life. The use of technology such as mobile payment or often referred to as m-payment provides convenience in financial transactions. This study aims to determine the factors that influence the application of mobile payment systems by consumers. 230 respondents were surveyed online using the convenience sampling method. This study used a descriptive study using a quantitative approach. A research model was developed and proposed relationships were tested using Structural Equation Modelling (SEM). The results of the study were obtained by the factors of perceived usefulness payment, perceived ease of use, attitude toward using had a significant effect on intention to use in mobile payment based on the Chi-Squares, Probability, Chi-Squares Minimum (CMIN)/Degree of Freedom (DF), Goodness of Fit Index (GFI), Adjusted Goodness of Fit (AGFI), Comparative Fit Index (CFI), Tucker Lewis Index (TLI) and Root Mean Square Error Aproximation (RMSEA) results that are in accordance with the reference value of the structural equation modeling (Goodness of fit model). This shows that the use of mobile payments in all sectors is in great demand by all levels of society.
机译:今天,数字经济的发展改变了人们生活中几乎所有方面的行为。移动支付或移动支付等技术的使用为金融交易提供了便利。本研究旨在确定影响消费者使用移动支付系统的因素。采用方便抽样法对230名受访者进行了在线调查。本研究采用了定量的描述性研究。开发了一个研究模型,并使用结构方程模型(SEM)对提出的关系进行了测试。研究结果通过基于卡方检验、概率检验、卡方最小值(CMIN)/自由度(DF)、拟合优度指数(GFI)、调整拟合优度(AGFI)、比较拟合指数(CFI)的感知有用性支付、感知易用性、使用态度对移动支付中的使用意愿有显著影响,Tucker-Lewis指数(TLI)和均方根误差近似(RMSEA)结果与结构方程模型(拟合优度模型)的参考值一致。这表明,移动支付在所有行业的使用都受到了社会各阶层的巨大需求。

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