Integrating TTF and UTAUT to explain mobile banking user adoption

By Tao Zhou, Yao-bin Lu. Computers in Human Behavior, 2010

1,715 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/25b1d334c3e267d8d51a6f307594c57d874967bf

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Citations in the corpus

Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy (2016, methodology): “The MB-related issues have recently been the focus of attention for many researchers (i.e. Hanaﬁzadeh et al., 2014; Lee et al., 2014; Lin, 2011; Purwanegara et al., 2014; Zhou et al., 2010).”
Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk (2018, background): “These results are in the line with what has been proven by prior studies addressing the important role of facilitating conditions (Wang and Shih, 2009; Zhou et al., 2010).”
Online shopping drivers and barriers for older adults: Age and gender differences (2014, background): “Not surprisingly, other countries besides Taiwan have reported a similar situation (Zickuhr & Coordinator, 2010).”
Predicting the intention to use mobile banking in India (2018, background): “Zhou et al. (2010) Task technology fit (TTF) and UTAUT China Performance expectancy, social influence, task technology fit, and facilitating conditions have a significant influence on adoption of mobile banking.”
Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (2020, methodology): “…consistent with their ﬁndings (Casey & Wilson-Evered, 2012; Dwivedi et al., 2011; Gupta et al., 2008; SUmak et al., 2011; Venkatesh et al., 2003; Zhou et al., 2010) Social Isolation (B ¼ 0.082 p < 0.05), the extended variable in the UTAUT model, has been found to have a positive and signiﬁcant…”
Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017, methodology): “…al., 1989) by Gu et al. (2009); the Theory of Planned Behaviour (TPB) (Ajzen, 1991) by Luarn and Lin (2005); the Decomposed Theory of Planned Behaviour (DTPB) by Püschel et al. (2010); the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al., 2003) as by Zhou et al. (2010).”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, background): “Zhou, Lu, and Wang (2010) defined m-banking as the use of mobile devices such as cell phones and personal digital assistants (PDAs) to access banking networks via the wireless application protocol (WAP).”