Analisis determinan digital financial literacy : perbandingan generasi z dan y

None Kezia Pearly Sembel, Sita Deliyana
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摘要

当前位置这个时代世界和科技的发展开始加速,并变得更加复杂。数字金融服务的出现使个人的生活变得更加简单,就连金融机构也在逐渐适应数字化进程。2007年,金融科技用户占比达到7%;2011年,这一数字增长了20%;2014年,这一数字增长了36%;到2017年,这一比例达到了78%。因此,毫无疑问,这已成为人类,特别是Z世代和Y世代在进行买卖交易、转让等时的一种要求。这种情况当然值得讨论,因为Z世代和Y世代在使用金融科技设施和服务方面存在差异;因此,本研究的目的是研究代际差异对数字金融素养的影响。本研究旨在确定基于年龄、性别、收入和婚姻状况的数字金融素养的代际差异。这项定量研究采用了某种类型的数据收集,通过谷歌表格使用在线问卷调查。总共有226个被调查者样本可以分析。本研究采用探索性因子分析(EFA)对数据进行分析。根据研究结果,有必要增加对数字金融知识的学习,并区分员工,企业家和学生的实际需求。进一步优化教育程度、收入、职业、性别等对数字金融素养具有高度显著性和正系数的因素。为了提高数字金融素养,还必须考虑社会经济和人口因素。
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ANALISIS DETERMINAN DIGITAL FINANCIAL LITERACY : PERBANDINGAN GENERASI Z DAN Y
: The development of the world and technology in this era have begun to accelerate and become more complex. The presence of digital financial services makes life simpler for individuals, as even financial institutions are gradually adapting to the digitalization process. In 2007, the number of users of financial technology reached 7%; in 2011, it increased by 20%; in 2014, it increased by 36%; and by 2017, it reached 78%. Consequently, there is no doubt that this has become a requirement for human beings, particularly generations Z and Y, when conducting purchasing and selling transactions, transfers, etc. This condition is certainly intriguing to discuss, as there are differences between generation Z and generation Y in their use of financial technology facilities and services; therefore, the purpose of this study is to examine the generational differences that have an impact on Digital Financial Literacy. This study aimed to identify generational disparities in digital financial literacy based on age, gender, income, and marital status. This quantitative study employed a certain type of data collection using an online questionnaire through a Google form. There is a total of 226 respondent samples that can be analysed. In this research, exploratory factor analysis (EFA) was used to analysed the data. With the results of the research, it is necessary to increase learning about digital financial literacy, as well as to differentiate practical litis for employees, entrepreneurs, and students. Furthermore, it is necessary to optimize the factors that are highly significant and have a positive coefficient in digital financial literacy, including education level, income, occupation, and gender. In order to enhance digital financial literacy, socioeconomic and demographic factors must also be taken into account.
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