论文标题

衡量移动银行应用程序的用户感知安全性

Measuring User Perceived Security of Mobile Banking Applications

论文作者

Apaua, Richard, Lallie, Harjinder Singh

论文摘要

移动银行应用程序已广受欢迎,并极大地彻底改变了银行业。尽管M-Banking应用程序提供了便利,但由于网络安全妥协,网络攻击和数据泄露的趋势的增加,用户通常对应用程序的安全性不信任。考虑到M-Banking应用程序的网络安全脆弱性以及该领域的研究匮乏的兴起,该研究是为了在经验上衡量M-Banking Apps用户感知的安全性。使用基于协方差的结构方程建模(CB-SEM)分析了研究参与者的315个反应。结果表明,基线扩展统一的统一接受和使用技术(UTAUT2)结构的大多数结构都得到了验证。认为安全性,机构信任和技术信任被证实是影响用户采用和使用M银行应用程序的意图的因素。但是,感知风险并未被确认为重要的预测指标。当前的研究进一步表明,在M银行应用程序的背景下,安全和信任的影响很复杂。感知到的安全性和机构信任对行为意图的影响受年龄,性别,经验,收入和教育的调节,而对使用行为的感知安全性则受年龄,性别和经验的调节。技术信任对行为意图的影响得到了年龄,教育和经验的调节。总体而言,提出的概念模型可接受拟合,并解释了行为意图的79%的差异和M-Banking应用程序使用行为的54.7%,高于原始UTAUT2中获得的差异。增强安全性,高级隐私机制和信任的保证应被视为旨在促进M银行应用程序采用和使用的未来策略中的至关重要。

Mobile banking applications have gained popularity and have significantly revolutionised the banking industry. Despite the convenience offered by M-Banking Apps, users are often distrustful of the security of the applications due to an increasing trend of cyber security compromises, cyber-attacks, and data breaches. Considering the upsurge in cyber security vulnerabilities of M-Banking Apps and the paucity of research in this domain, this study was conducted to empirically measure user-perceived security of M-Banking Apps. A total of 315 responses from study participants were analysed using covariance-based structural equation modelling (CB-SEM). The results indicated that most constructs of the baseline Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) structure were validated. Perceived security, institutional trust and technology trust were confirmed as factors that affect user's intention to adopt and use M-Banking Apps. However, perceived risk was not confirmed as a significant predictor. The current study further revealed that in the context of M-Banking Apps, the effects of security and trust are complex. The impact of perceived security and institutional trust on behavioural intention was moderated by age, gender, experience, income, and education, while perceived security on use behaviour was moderated by age, gender, and experience. The effect of technology trust on behavioural intention was moderated by age, education, and experience. Overall, the proposed conceptual model achieved acceptable fit and explained 79% of the variance in behavioural intention and 54.7% in use behaviour of M-Banking Apps, higher than that obtained in the original UTAUT2. The guarantee of enhanced security, advanced privacy mechanisms and trust should be considered paramount in future strategies aimed at promoting M-Banking Apps adoption and use.

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