运用D&M模型影响印尼数字银行客户满意度的因素

D. Wiryawan, Joni Suhartono, Siti Elda Hiererra, A. Gui
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引用次数: 0

摘要

数字银行是向客户提供的一种银行服务,所有的服务都不是通过访问银行进行的,而是直接通过应用程序或数字技术设备进行的。这个研究是基于之前的研究,有多少客户把他们的资金和钱存在银行以备将来需要,那么业务和他们的财产在安全方面得到保证,以及客户的数量在加速银行提供的服务,以提高最近互联网技术在银行服务中的使用。通过了解数字银行服务在当前数字时代4.0的重要性,本文的目的和目标是找出并概述影响客户满意度的因素,使用有问题的数字银行服务。使用的方法是D&M模型(Delone和Mclean模型),其中这种方法是用来衡量信息系统的成功或失败的模型之一。模型中的变量包括作为服务质量一部分的事务质量、响应性、有用性和易用性,作为信息质量一部分的历史记录、保证和数据隐私,以及作为系统质量一部分的信任和访问控制。本研究采用非概率抽样的方法,采用滚雪球抽样的数据收集技术,向数字银行用户发放问卷,收集数据。就资料而言,获得的受访者数量为410人,其中56%为男性,44%为女性。进一步分析得出,各种变量显著影响用户使用数字银行的满意度。例如,访问控制变量的值为3.453(在t统计上),这表明访问控制变量在其他变量中具有显著值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting Digital Banking Customer Satisfaction in Indonesia using D&M Model
Digital banking is one of the banking services provided to customers, where all services are not carried out by visiting the bank in question, but all through applications or digital technology devices directly. This research was conducted based on previous research, where the number of customers saves their funds and money in the bank for future needs, then the business and their belongings are guaranteed on the security side, as well as the number of customer desires in accelerating the services provided by the bank to the higher the use of internet technology in banking services lately. By knowing the importance of digital banking services in the current digital era 4.0, the purpose and objective of this paper are to find out and provide an overview of the factors that influence customer satisfaction in using the digital banking services in question The method used is the D&M Model (Delone and Mclean Model), where this method is one of the models used to measure the success or failure of an information system used. The variables in the model include Transaction Quality, Responsiveness, Usefulness, and Ease of Use as part of Service Quality, History, Assurance, and Data Privacy as part of Information Quality, and Trust and Access Control as part of System Quality. This research collects data in a questionnaire distributed to digital banking users through a non-probability sampling method using a data collection technique, namely, snowball sampling. For information, the number of respondents obtained is 410 respondents, of which 56% are male and 44% are female. Further analysis concluded that the various variables significantly affect user satisfaction in using digital banks. For example, the access control variable has a value of 3.453 (on t-statistics), which shows that the access control variable has a significant value among other variables.
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