An extension of Trust and TAM model with TPB in the adoption of digital payment: An empirical study in Vietnam.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-03-11 eCollection Date: 2025-01-01 DOI:10.12688/f1000research.157763.2
Truong Tuan Linh, Nguyen Thi Thanh Huyen
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引用次数: 0

Abstract

Background: Digital payment systems are pivotal in the digital economy, relying on the interplay between internet technology and e-vendors. While the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) have been extensively used to explain technology adoption, the role of trust in financial technology adoption remains underexplored. This study addresses this gap by developing an extended Trust-TAM-TPB model, providing a comprehensive framework to analyze digital payment adoption in emerging markets.

Methods: A quantitative approach was adopted, analyzing survey data from 509 respondents using Structural Equation Modeling (SEM). The extended model examines both technological factors (perceived usefulness, perceived ease of use) and trust-related factors (trust's influence on behavioral intention via subjective norms, attitude, and perceived behavioral control).

Results: Findings confirm that trust is a significant determinant of digital payment adoption, influencing both perceived usefulness and subjective norms. However, a negative relationship was found between perceived usefulness (PU) and attitude (ATT), suggesting that while users recognize the benefits of digital payments, their attitudes may still be shaped by traditional cash-based habits and security concerns. These insights challenge traditional TAM assumptions and emphasize the importance of trust in driving adoption.

Conclusions: This study contributes to technology acceptance literature by integrating trust into the TAM-TPB framework and highlighting its dual role in shaping both perceived usefulness and behavioral intention. Practically, the findings suggest that policymakers and financial institutions should prioritize trust-building strategies, including fraud prevention measures, financial literacy programs, and transparent transaction policies, to accelerate digital payment adoption in developing economies. These insights are particularly relevant for Vietnam's Northern mountainous regions, where digital payment penetration remains low.

基于TPB的信任与TAM模型在数字支付中的扩展:越南的实证研究。
背景:数字支付系统是数字经济的关键,它依赖于互联网技术和电子供应商之间的相互作用。虽然技术接受模型(TAM)和计划行为理论(TPB)已被广泛用于解释技术采用,但信任在金融技术采用中的作用仍未得到充分探讨。本研究通过开发一个扩展的Trust-TAM-TPB模型来解决这一差距,为分析新兴市场的数字支付采用提供了一个全面的框架。方法:采用定量方法,利用结构方程模型(SEM)对509名被调查者的调查数据进行分析。扩展模型考察了技术因素(感知有用性、感知易用性)和信任相关因素(信任通过主观规范、态度和感知行为控制对行为意图的影响)。结果:研究结果证实,信任是数字支付采用的重要决定因素,影响感知有用性和主观规范。然而,在感知有用性(PU)和态度(ATT)之间发现了负相关关系,这表明尽管用户认识到数字支付的好处,但他们的态度可能仍然受到传统现金习惯和安全问题的影响。这些见解挑战了传统的TAM假设,并强调了信任在推动采用方面的重要性。结论:本研究通过将信任整合到TAM-TPB框架中,并强调其在塑造感知有用性和行为意愿方面的双重作用,为技术接受文献做出了贡献。实际上,研究结果表明,政策制定者和金融机构应优先考虑建立信任的战略,包括预防欺诈措施、金融扫盲计划和透明交易政策,以加速发展中经济体采用数字支付。这些见解与越南北部山区尤其相关,那里的数字支付普及率仍然很低。
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
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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