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移动支付采用的研究趋势：研究趋势与议程。

Research trends in mobile payment adoption: Research trends and agenda.

作者信息

Valencia-Arias Alejandro, Jimenez Garcia Jesus Alberto, Moreno-López Gustavo, Oré León Aaron José Alberto, Palacios-Moya Lucia, Valencia Jackeline, Benjumea-Arias Martha

机构信息

School of Industrial Engineering, Universidad Senor de Sipan, Chiclayo, Lambayeque, 14001, Peru.

Dirección de Planificación y Desarrollo Institucional, Universidad Senor de Sipan, Chiclayo, Lambayeque, 14001, Peru.

出版信息

F1000Res. 2025 Aug 20;14:358. doi: 10.12688/f1000research.159551.2. eCollection 2025.

DOI:10.12688/f1000research.159551.2
PMID:40910037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12405856/
Abstract

This study explores the adoption of mobile payments as a research field to understand the technological, socioeconomic, and cultural factors that influence the understanding of the users' experience and satisfaction and attract more users. It is vital to examine the research trends in the adoption of mobile payments from a systematic literature review using PRISMA 2020 to select 63 documents from Scopus and WOS. Among the results, the most used models for this analysis are extended TAM and extended UTAUT. The most representative variables in the studies are social influence, security perception, risk perception, trust and perceived usefulness. It is concluded that the future research agenda should focus on topics such as biometric authentication, payment flexibility and contactless payments. In addition, from the business perspective, there is a focus on designing innovative interfaces that are more intuitive for users.

摘要

本研究将移动支付的采用作为一个研究领域进行探索，以了解影响用户体验理解和满意度并吸引更多用户的技术、社会经济和文化因素。通过使用PRISMA 2020进行系统的文献综述来考察移动支付采用方面的研究趋势，从Scopus和WOS中筛选出63篇文献，这一点至关重要。在研究结果中，用于此分析的最常用模型是扩展技术接受模型（extended TAM）和扩展统一理论接受与使用技术模型（extended UTAUT）。研究中最具代表性的变量是社会影响、安全感知、风险感知、信任和感知有用性。研究得出结论，未来的研究议程应聚焦于生物识别认证、支付灵活性和非接触式支付等主题。此外，从商业角度来看，重点在于设计对用户而言更直观的创新界面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/3f0743993a5c/f1000research-14-185656-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/387acdd70920/f1000research-14-185656-g0000.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/536e9f8a14bd/f1000research-14-185656-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/992fe9672aea/f1000research-14-185656-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/ebec770d8250/f1000research-14-185656-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/3f0743993a5c/f1000research-14-185656-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/387acdd70920/f1000research-14-185656-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/39156fe52cef/f1000research-14-185656-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/1e2a8ed8b2ad/f1000research-14-185656-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/358462c74f88/f1000research-14-185656-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/536e9f8a14bd/f1000research-14-185656-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/992fe9672aea/f1000research-14-185656-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/ebec770d8250/f1000research-14-185656-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9522/12405858/3f0743993a5c/f1000research-14-185656-g0007.jpg

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