Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM

By Tiago Oliveira, Miguel Faria, Manoj A. Thomas, Ales Popovic. International Journal of Information Management, 2014

405 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/6a42db576e70ef6c9b140af96a5c3c99651b8401

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Citations in the corpus

What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020, neutral): “Meanwhile, TTF also significantly determine PE (Zhou et al., 2010; Oliveira et al., 2014; Yuan et al., 2016).”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, methodology): “This does not conform with other studies that examined the importance of the role of these three factors on the behaviour of people internationally and within the context of Saudi Arabia (e.g. Al-Husein and Sadi, 2015; Lee and Chung, 2009; Oliveira et al., 2014).”
Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) (2018, background): “Additional study indicated that performance expectancy was a signiﬁ-cant antecedent of initial trust in mobile banking among 194 voluntary participators (Oliveira et al. 2014).”
A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, background): “Many prior researchers found that structural assurance leads to trust among users (Afshan & Sharif, 2016; Oliveira et al., 2014; Silic & Ruf, 2018; Wang et al., 2015; Xin, Techatassanasoontorn, & Tan, 2015).”
Point of adoption and beyond. Initial trust and mobile-payment continuation intention (2020, neutral): “Initial trust, in turn, influences adoption behavior through intention (Oliveira et al., 2014).”
User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, background): “Conversely, other authors have investigated the moderating effects of gender and age using UTAUT models, and they have not found any signiﬁcant results among social media users [35] or mobile banking users [34].”