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.
翻译:尽管M-Banking Apps提供了方便,但用户往往对应用程序的安全不甚信任,原因是网络安全妥协、网络攻击和数据破坏的趋势日益上升;考虑到M-Bank Apps的网络安全脆弱性剧增,而且该领域研究缺乏,本项研究旨在实证测量用户对M-Bank Apps安全的看法,对研究参与者共315份答复进行了分析,使用了基于常态的结构等式模型(CB-SEM),结果显示,由于网络安全妥协、网络攻击和数据破坏的趋势日益明显,大多数用户对应用程序的安全不甚信任;考虑到M-Bank Apps的网络安全脆弱性和这方面的研究,对M-Bank Apps的网络安全脆弱性和缺乏研究;然而,所认识的风险并没有被确认为一个重要的预测因素;在M-Bank Apps(C-CBanking Apps)中,共有315份研究参与者的答复得到了分析,其结构等式结构模型(CB-SEM-SE),结果表明,在基线、接受和使用技术接受和使用(UT)的基线扩展统一理论(UT)结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构结构中,其大多数结构,其大多数结构,其大部分结构信任,其大部分结构信任对行为意图的影响得到验证,其大部分,其影响得到验证。