金融科技对马郎中小微企业财务满意度的影响

Erna Retna Rahadjeng, Yulist Rima Fiandari
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引用次数: 0

摘要

本研究旨在确定金融技术对马朗市中小企业财务满意度的影响。通过使用原始数据和随机抽样,以及使用分发给企业家并用Likert量表测量的问卷。马朗市中小微企业受访者的数据收集基于问卷的分发。研究目的如下:了解金融科技对财务满意度的影响?”。用于确定影响的分析方法是使用简单的回归统计,使用SPPS工具进行回归分析。回归分析结果表明,金融科技变量对财务满意度有显著影响。金融科技回归模型(特征便利性、社会影响、绩效预期、系统安全性和支付系统驱动因素的影响)产生的决定系数(Adj.R-square)对财务满意度的值为0.565。同时测试金融科技变量(特征易用性、社会影响、绩效预期、系统安全性和支付系统驱动因素)对财务满意度的影响假设,得出26716的F检验统计量,概率为0.000。这意味着金融科技(特征的可行性、社会影响、绩效预期、系统安全和支付系统驱动因素)对财务满意度同时产生重大影响。
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The Effect of Financial Technology on the Financial Satisfaction of MSMEs in Malang
This study aims to determine the effect of financial technology on financial satisfaction of Small Businesses (SMEs) in Malang City. By using primary data and random sampling, as well as using a questionnaire distributed to entrepreneurs and measured with a Likert scale. The collection of data on MSME respondents in the city of Malang is based on the distribution of questionnaires. The research objectives are as follows: To know the influence of Fintech on financial satisfaction?”. The analytical method used to determine the effect is to use simple regression statistics, with regression analysis tools used SPPS tools. The results obtained from the regression analysis show that there is a significant influence between Fintech variables on Financial Satisfaction. This is indicated by the value of the coefficient of determination (Adj.R-square) generated by the Fintech regression model (effect of feature convenience, social influence, performance expectations, system security and payment system drivers) on financial satisfaction of 0.565. Simultaneous testing of the hypothesis of the influence of Fintech variables (Ease of Features, Social Influence, Performance Expectations, System Security and Payment System Drivers) on Financial Satisfaction resulted in an F-test statistic of 26,716 with a probability of 0.000. This means that there is a simultaneous significant influence (together) with Fintech (Feasibility of Features, Social Influence, Performance Expectations, System Security and Payment System Drivers) on Financial Satisfaction.
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