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Understanding the usage of mobile payment systems- The impact of personality on the continuance usage

机译:了解移动支付系统的用法-人格对连续性用法的影响

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Payment convenience has benefited from the revolution in mobile technologies. M-payment users, however, seem inconsistent in their payment activity, resisting change from traditional payment methods. Ensuring consumer continuance of m-payment technology usage is critical to ensuring the ubiquity of m-payment solutions. Although research has examined the influence of individual difference on the acceptance of m-payment, most studies fail to consider whether ongoing acceptance is maintained by the user, or whether a change in perception occurs as a result of use. Moreover, current studies consider user demographic profiles to segment mobile users, yet this dismisses the impact of individual difference, e.g. personality or cognitive style. This paper proposes a model that can be used to investigate the impact of individual difference on user perception of m- payment systems. The Expectation Confirmation Model (ECM) and Unified Theory of Acceptance and Use of Technology (UTAUT2) model factors (i.e. effort expectancy, performance expectancy, social influence, facilitating condition, habit, hedonic motivation, price value, trust and perceived risk) allow capture of data relating to two use perceptions; pre- and post-usage perception. The proposed model allows capture and comparison of pre-usage expectation and post-usage beliefs, allowing consideration of perception variance as a result of technology use. This model will be applied to gain a deeper insight into how to address users' satisfaction, acceptance, and continuance usage of Near Field Communication m-payment technologies.
机译:付款便利性得益于移动技术的革命。但是,M支付用户似乎在其支付活动中前后不一致,抵制了传统支付方式的变化。确保消费者继续使用m-pay技术对于确保m-pay解决方案的普遍性至关重要。尽管研究已经研究了个体差异对接受m-pay的影响,但是大多数研究都没有考虑用户是否保持了持续接受,或者使用后是否会发生感知变化。此外,当前的研究考虑了用户人口统计资料以对移动用户进行细分,但是这消除了个体差异的影响,例如人格或认知风格。本文提出了一个模型,可用于研究个体差异对移动支付系统用户感知的影响。期望确认模型(ECM)和技术接受与使用统一理论(UTAUT2)模型因素(例如,预期工作量,预期绩效,社会影响,便利条件,习惯,享乐动机,价格价值,信任和感知风险)允许捕获与两种使用感觉有关的数据;使用前和使用后的感知。所提出的模型允许捕获和比较使用前期望和使用后信念,并允许考虑由于技术使用而导致的感知差异。将应用此模型来更深入地了解如何解决用户对近距离通信m-pay技术的满意,接受和持续使用的问题。

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