Abstract
While the use of Mobile payment (M-payment) systems has been well-perceived across several sectors, the factors affecting its adoption are still not apparent. Since the UTAUT is believed to provide a better understanding of the variance in the behavioral intention to use several technologies, this systematic review aims to analyze the M-payment studies from the lens of the UTAUT model. Out of 377 studies collected, a total of 25 research articles were synthesized and analyzed. The taxonomy of the analyzed studies was based on publication years, contexts, research methods, active countries, databases, factors and their types, participants, and research purposes. The main results pointed out that 48% of the analyzed studies were undertaken in the industrial sectors. Further, 80% of the analyzed studies have mainly relied on questionnaire surveys for data collection. Moreover, perceived risk and perceived trust were found to be the most dominant predictors of M-payment adoption. It is believed that the results of this systematic review will provide an inclusive source for conducting further research in M-payment.
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This is an extended version of a conference paper published by the 2019 International Conference on Fourth Industrial Revolution (ICFIR).
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Al-Saedi, K., Al-Emran, M. (2021). A Systematic Review of Mobile Payment Studies from the Lens of the UTAUT Model. In: Al-Emran, M., Shaalan, K. (eds) Recent Advances in Technology Acceptance Models and Theories. Studies in Systems, Decision and Control, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-64987-6_6
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