Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model

By Chian-Son Yu. 2012

942 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2a3e4a3024bfc4df27db07a1d48f77a6f371b0c3

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Citations in the corpus

Elderly and Internet Banking: An Application of UTAUT2 (2015, background): “Previous studies provide support for the idea that behavioral intention and facilitating conditions (Chen and Chan, 2014; Im et al. 2011; Martins et al 2014; Yu 2012) explain use behavior in adopting IB.”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, methodology): “With regard to M-Banking and after using UTAUT, Oliveira et al. (2014), Yu (2012) and Zhou et al. (2010) asserted the important role of EE on the level of usage among users.”
Predicting the intention to use mobile banking in India (2018, background): “, 2011; Aboelmaged & Gebba, 2013), UTAUT/UTAUT2 (Luo et al., 2010; Bankole et al., 2011; Yu, 2012; Baptista & Oliveira, 2015; Alalwan et al., 2017), and IDT (Khraim et”
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018, result): “Gro ß (2015) in an empirical study, suggested that consumers’ m-shopping behavior is significantly determined by their behavioral intention to use m-shopping also confirming previous empirical findings (AldasManzano et al., 2009; Yu, 2012).”
Factors influencing Malaysian bank customers to choose Islamic credit cards: Empirical evidence from the TRA model (2013, result): “This outcome is consistent with previous studies (Yu, 2012; Luarn and Lin, 2005).”
User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, methodology): “Previous empirical studies on mobile app adoption have supported the idea that effort expectancy inﬂuences intentions to use [17,19,24], but not in the MARSR environment.”
An empirical study on trust in mobile banking: A developing country perspective (2016, background): “The behavior of the path coefficient was similar to that observed by Yu (2012), once social influence was the main variable to explain MB adoption in Taiwan (Yu, 2012).”
Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017, methodology): “The selection of social influence as a key determinant of the behavioural intention is built on prior literature which supports the impacting role of social influence on customers’ propensity to use online banking channels (Alalwan et al., 2016b; Martins et al., 2014; Riquelme and Rios, 2010; Yu, 20”
Mobile banking adoption: A literature review (2015, background): “The third most common theory is UTAUT, as developed by Venkatesh et al. (2003).”