利用结构方程模型对面向国有银行客户的在线服务质量进行测量分析

Frans Sudirjo, Luh Komang Candra Dewi, Wenny Desty Febrian, Indra Sani, Donny Dharmawan
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引用次数: 0

摘要

本研究的目的是评估在线客户服务的水平,以便用户能够继续使用他们认为合适的电子银行系统。为了收集电子银行系统研究的数据,使用了相关各方的问卷答复、访谈和观察。此外,有必要对与该主题相关的文献进行评估。作为数据收集过程的一部分,研究人员直接和间接地分发了调查问卷。在第一阶段,进行了非概率抽样,在随后的阶段,根据预先确定的标准使用了目的性抽样。本研究的样本为 100 人。结构方程模型(SEM)方法是本研究使用的数据分析技术。研究结果表明,电子银行系统的用户更愿意相信所提供服务的质量。客户在使用电子银行系统时会感到满意和放心,因为该系统能提供他们所需的服务。由于电子银行系统的优质服务相对于其变量值的概率值较高,客户在使用该系统进行交易时会感到有信心。电子银行系统能够让客户感到满足,因此它对客户忠诚度有重大影响,尽管其值与其他变量的可能性值相比相当小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Measurement Analysis of Online Service Quality Toward State Banking Customers Using Structural Equation Modeling
The purpose of this study is to evaluate the level of customer care offered online so that users can keep using the e-banking system as they see fit. In order to gather data for e-banking system study, involved parties' questionnaire responses, interviews, and observations are used. Furthermore, it is necessary to perform a literature evaluation pertaining to this topic. Researchers both directly and indirectly distributed questionnaires as part of the data collection process. In the first stage, non-probability sampling is performed, and in the subsequent stage, purposive sampling is used based on predetermined criteria. 100 people made up the sample in this study. The Structural Equation Modeling (SEM) method was the data analysis technique used in this study. The study's findings demonstrated that users of the e-banking system were more likely to trust the caliber of the services offered. Customers can feel satisfied and assured when using the e-banking system because it provides what they need. Because the e-banking system's quality service has a relatively high value in relation to the probability value of its variable values, clients can feel confidence when transacting with it. The e-banking system is able to make clients feel content, hence it has a major influence on customer loyalty, even though the value is fairly tiny compared to the likelihood values for other variables.
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