2020
DOI: 10.1016/j.chbr.2020.100008
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Mobile payment service usage: U.S. consumers’ motivations and intentions

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Cited by 74 publications
(82 citation statements)
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References 42 publications
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“…The greater the influence of the closest people have on the usage of mobile payment services, the greater the intention of Generation Z to adopt this technology. The result is consistent with (Alshehri et al, 2019) and (Jung et al, 2020). Generation Z is the generation that communicates the most on social media.…”
Section: Si1supporting
confidence: 85%
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“…The greater the influence of the closest people have on the usage of mobile payment services, the greater the intention of Generation Z to adopt this technology. The result is consistent with (Alshehri et al, 2019) and (Jung et al, 2020). Generation Z is the generation that communicates the most on social media.…”
Section: Si1supporting
confidence: 85%
“…Performance Expectancy is essential in describing the intention to use mobile payment technology. Many studies have shown that Performance Expectancy significantly influences the Behavioral Intention to use certain technologies, namely: academic information systems (Handayani & Sudiana, 2017); mobile commerce technologies (Ali & Qaisar, 2018); mobile learning (Chao, 2019) and mobile payment service (Jung et al, 2020). Based on the explanation above, the following hypothesis is proposed: H1: Performance Expectancy has a significant positive effect on Behavioral Intention…”
Section: The Impact Of Performance Expectancy On Behavioral Intentionmentioning
confidence: 99%
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“…Hence, studies on the predictors of MFS/m-banking user attitude and behavior have recently gained momentum in the academic and business community because such research can assist MFS marketers to devise and implement better strategic decisions required for customer acquisition and retention (Malik et al, 2013;Saleh and Mashhour, 2014;Slade et al, 2015;Abdinoor and Mbamba, 2017;Cui et al, 2020;Manchanda and Deb, 2020). Using technology acceptance model (TAM) (Davis et al, 1989) and other related behavioral theories, several past studies identified numerous crucial predictors, such as perceived usefulness (PU)/relative advantage/performance expectancy, perceived ease of use (PEOU)/complexity/ effort expectancy, subjective norms, perceived functional and emotional benefits, consumer innovativeness, demographics, perceived risk, facilitating conditions and many more that can influence users' attitude and intention to use m-commerce/m-payment/MFS (Yang, 2005;Hsu et al, 2011;Yen and Wu, 2016;Chi, 2018;Gupta and Manrai, 2019;Al-Saedi et al, 2020;Jung et al, 2020;Manrai and Gupta, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Dans ce contexte difficile, une des options qui pourraient s'offrir aux consommateurs ivoiriens est l'adoption ou l'utilisation du paiement mobile. En effet, selon certaines recherches, le paiement mobile est l'un des moyens les plus sûrs pour les transactions à distance et sans contact (Jung, Kwon et Kim, 2020;Chaix et Torre, 2015;Chaix, 2013). Depuis plusieurs années, le paiement mobile connait une rapide évolution, surtout dans les économies en voie de développement ou faiblement bancarisées (Chaix et Torre, 2015).…”
Section: Introductionunclassified