2020
DOI: 10.5267/j.msl.2020.4.033
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Factors affecting private customers in adopting mobile banking in Vietnam

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Cited by 9 publications
(8 citation statements)
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“…Two of the four studies from Vietnam that were done focused on certain regions within the country. Both Le et al (2020) and Trinh et al (2020) attempted to identify the primary factors influencing consumers' decisions in Thanh Hoa province and Northern, Middle and Southern Vietnam, respectively, to utilize mobile banking.…”
Section: Mobile Bankingmentioning
confidence: 99%
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“…Two of the four studies from Vietnam that were done focused on certain regions within the country. Both Le et al (2020) and Trinh et al (2020) attempted to identify the primary factors influencing consumers' decisions in Thanh Hoa province and Northern, Middle and Southern Vietnam, respectively, to utilize mobile banking.…”
Section: Mobile Bankingmentioning
confidence: 99%
“…(2020) and Trinh et al. (2020) attempted to identify the primary factors influencing consumers’ decisions in Thanh Hoa province and Northern, Middle and Southern Vietnam, respectively, to utilize mobile banking.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, to drive greater adoption of digital banking, it is becoming imperative for banks to raise trust among consumers (Jadil et al ., 2021). Furthermore, while several studies have investigated the relationship of trust in m-banking with various antecedents and consequences, there seems to be a dearth of comprehensive meta-analyses on this subject (Jadil et al ., 2021; Oliveira et al ., 2014; Trinh et al ., 2020). Hence, the present study attempts to carry out a meta-analysis to synthesize the findings of the extant research on trust in m-banking.…”
Section: Introductionmentioning
confidence: 99%
“…Several aspects affect a person's attention to utilizing a technology according to the Technology Acceptance Model (TAM) principles, namely an evaluation of the utility obtained, known as performance expectancy. (Venkatesh et al, 2003), An assessment of the smoothness and difficulty level of use or what is called the effort expectancy (Venkatesh et al, 2003), social influence on reflections on the use of technology (Trinh et al 2020), the conditions of the facilities available on the application (Joshi, 2018), hedonic motivation to use the application (Al-Azawei & Alowayr, 2020), habitual behavior (Primasari, 2016), as well as the level of risk perception when using the application (Choi et al, 2013).…”
Section: Introductionmentioning
confidence: 99%