The choice of payment method in online stores depending on demographic characteristics

L. Piersiala, J. Kabus
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Abstract

The subject of consideration in this article is to determine differences in the form of payment on the Internet depending on selected characteristics of respondents.The main research problem in this aspect was to answer the question: What types of payment instruments are used in distance transactions depending on gender, place of residence and age? The time scope of the analysis covers the period from October 2022 to February 2023. The basic research method was the CAPI method, based on a questionnaire. In order to verify the hypotheses, statistical analyzes were carried out using the IBM SPSS Statistics 26 package. It was used to analyze basic descriptive statistics together with the Shapiro-Wilk test for normality of distributions of quantitative variables. The study involved 399 people, which is a relatively small sample, so the Mann-Whitney test was an appropriate choice. The Mann-Whitney test was used to compare two independent samples in terms of their distribution. Sample 1 was women and sample 2 was men.The Mann-Whitney test showed that the distribution of favorite payment methods among women and men is different. This means that women and men prefer different payment methods. Both women and men prefer to pay cash for online purchases. For women, the second most popular non-cash payment method is cards, and for men - bank transfer. Other non-cash methods, such as direct debit, voucher, loyalty points or PayPal, are less popular among both groups.This study contributes to existing research by offering an analysis of data on Polish consumers' payment methods. The part of the article indicates possible directions of development of the PayTech sector throughout the world and in Poland specifically.
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网店付款方式的选择取决于人口特征
本文的研究主题是确定互联网支付形式的差异,这取决于受访者的选定特征:这方面的主要研究问题是回答这样一个问题:根据性别、居住地和年龄的不同,在远程交易中使用的支付工具有哪些类型?分析的时间范围为 2022 年 10 月至 2023 年 2 月。基本研究方法是基于问卷的 CAPI 方法。为了验证假设,使用 IBM SPSS Statistics 26 软件包进行了统计分析。它用于分析基本的描述性统计,并对定量变量分布的正态性进行 Shapiro-Wilk 检验。本研究涉及 399 人,样本相对较少,因此曼-惠特尼检验是一个合适的选择。曼-惠特尼检验用于比较两个独立样本的分布情况。曼-惠特尼检验表明,女性和男性最喜欢的支付方式的分布是不同的。这说明女性和男性喜欢不同的支付方式。女性和男性都喜欢在网上购物时支付现金。对于女性来说,第二大最受欢迎的非现金支付方式是银行卡,而对于男性来说,第二大最受欢迎的非现金支付方式是银行转账。本研究通过对波兰消费者支付方式的数据分析,为现有研究做出了贡献。文章的这一部分指出了支付技术行业在全世界,特别是在波兰可能的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
28
审稿时长
5 weeks
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