Understanding the usage of Mobile Payment Systems- the impact of personality on the continuance usageAlmazroa, M. and Gulliver, S. ORCID: https://orcid.org/0000-0002-4503-5448 (2018) Understanding the usage of Mobile Payment Systems- the impact of personality on the continuance usage. In: 4th International Conference on Information Management (ICIM), 25-27th May 2018, Oxford University, https://doi.org/10.1109/INFOMAN.2018.8392833. (2018 4th International Conference on Information Management (ICIM))
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/INFOMAN.2018.8392833 Abstract/SummaryPayment 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.
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