2016
DOI: 10.1177/2158244016675397
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A Comparative Study of Current and Potential Users of Mobile Payment Services

Abstract: Previous studies of mobile payment (m-payment) services have primarily focused on a single group of adopters. This study identifies the factors that influence an individual's intention to use m-payment services and compares groups of current users (adopters) with potential users (non-adopters). A research model that reflects the behavioral intention to use m-payment services is developed and empirically tested using structural equation modeling on a data set consisting of 529 potential users and 256 current us… Show more

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Cited by 48 publications
(53 citation statements)
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References 60 publications
(167 reference statements)
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“…As mobile payment involves personal and sensitive financial information, security issues may become barriers to technology adoption [37,76]; perceived risk was included in this study to explore the most important resistance factors, which may explain the low utilization rate of actual mobile payment. Previous studies have confirmed that perceived risk has a negative impact on the adoption of mobile payment [11][12][13][54][55][56][57][58][59]77]. Thus, the following hypothesis was established:…”
Section: Inhibitor Factor (Perceived Risk) and Adoption Intentionmentioning
confidence: 90%
See 1 more Smart Citation
“…As mobile payment involves personal and sensitive financial information, security issues may become barriers to technology adoption [37,76]; perceived risk was included in this study to explore the most important resistance factors, which may explain the low utilization rate of actual mobile payment. Previous studies have confirmed that perceived risk has a negative impact on the adoption of mobile payment [11][12][13][54][55][56][57][58][59]77]. Thus, the following hypothesis was established:…”
Section: Inhibitor Factor (Perceived Risk) and Adoption Intentionmentioning
confidence: 90%
“…Mobile payment users mainly worry about unauthorized use, mobile device communication reliability, privacy leaks, and transactions errors [11]. Previous studies have shown that perceived risk can directly affect users' intention to adopt mobile payment services [11,13,[54][55][56][57][58][59]].…”
Section: Inhibiting Factors: Perceived Riskmentioning
confidence: 99%
“…Some types of non-cash payments that are currently popular are mobile payments. Mobile payment is a means of payment using a mobile phone as a means by using certain applications for operating the system (Phonthanukitithaworn et al, 2016).…”
mentioning
confidence: 99%
“…PEU is the scope to which usage of a novel knowledge, innovation or technology, is anticipated to be comparatively free of sentimental, psychological or physical exertions for potential adopters [74]. PEU is a review of the psychological endeavor concern in the utilization of the system.…”
Section: Conceptual Framework and Hypotheses A Conceptual Framementioning
confidence: 99%