Investigating consumers’ intentions regarding the adoption of mobile payments: An SEM-based empirical investigation

Q2 Economics, Econometrics and Finance
M. Hasan, Md. Shamim Hossain, Md. Shakhawat Hossain, A. Masud, Most. Nirufer Yesmin, R. Wu
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引用次数: 0

Abstract

The impact of mobile commerce on our daily lives is growing, and it is starting to provide new services that are both engaging and beneficial. The study's objective is to look at how users intend to utilize mobile payment (m-payment) services and how usage intentions and customer satisfaction are impacted. This study aims to comprehend the current state of m-payment services in Bangladesh and determine whether consumer intentions are affected by perceived ease of use, perceived usefulness, mobility, cost, perceived risk, perceived trust, and social influence. A structured online survey with 350 valid samples was undertaken to gather contextual data. The results indicate that perceived ease of use, perceived usefulness, perceived trust, and social influence have a significant and positive impact on m-payment services. On the other hand, mobility, cost and perceived risk have not influenced consumer intentions toward m-payment services. However, this research will assist managers in creating appropriate business plans and service strategies for distinct m-payment user groups, enabling them to invest the necessary amount of time, effort, and money in the creation of m-payment systems. The results will also serve as a reference for future mobile payment research.
调查消费者对采用移动支付的意向:基于sem的实证调查
移动商务对我们日常生活的影响越来越大,它开始提供既吸引人又有益的新服务。该研究的目的是了解用户打算如何使用移动支付服务,以及使用意图和客户满意度如何受到影响。本研究旨在了解孟加拉国移动支付服务的现状,并确定消费者意图是否受到感知易用性、感知有用性、移动性、成本、感知风险、感知信任和社会影响力的影响。进行了一项有350个有效样本的结构化在线调查,以收集相关数据。结果表明,感知易用性、感知有用性、感知信任和社会影响力对移动支付服务有显著的正向影响。另一方面,移动性、成本和感知风险并没有影响消费者对移动支付服务的意向。然而,这项研究将帮助管理者为不同的移动支付用户群体制定适当的商业计划和服务策略,使他们能够在创建移动支付系统时投入必要的时间、精力和金钱。研究结果也将为今后的移动支付研究提供参考。
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
Asian Economic and Financial Review
Asian Economic and Financial Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.80
自引率
0.00%
发文量
64
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