Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators

By G. Baptista, Tiago Oliveira. Computers in Human Behavior, 2015

870 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/ce0477298950d30c42e3e92d658180032d1a4f70

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

An empirical study on trust in mobile banking: A developing country perspective (2016, methodology): “…Al-Arabiat,& Shin, 2015; Venkatesh& Morris, 2000) and it has been used in studies about MB and online banking (Al-Somali, Gholami, & Clegg, 2009; Baptista & Oliveira, 2015; Chitungo & Munongo, 2013; Montezemi & Saremi, 2015; Oliveira et al., 2014; Shaikh & Karjaluoto, 2015; Zhou et al., 2010).”
Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020, result): “However, some other studies (e.g., Baptista & Oliveira, 2015; Slade et al., 2015a) have also found this relationship to be nonsignificant.”
A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust (2019, background): “Moreover, UTAUT2 has since been applied, validated and extended in multiple ﬁ elds such as e-services [50], Mobile banking [9,51], Online shopping [52,53] Internet banking [15], smartphone [54,55] and e-learning [56], further establishing it as a comprehensive model for the study of technology…”
Predicting the intention to use mobile banking in India (2018, background): “…et al., 2011; Jeong & Yoon, 2013; Mortimer et al., 2015; Kumar et al., 2017), TPB/DTPB (Beiginia et al., 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 al., 2011; Lin, 2011).”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “This particularly occurs when the current users of a given technology are influenced by the shift of their peers and families from using one technological service to another (Baptista and Oliveira, 2015; Dwivedi et al., 2017a, 2017b).”
Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk (2018, background): “…to issues related to cost, time and convenience, banks have begun to make use of technological applications in their endeavours to override the restrictions pertaining to human encounter (Al-Hawari et al., 2009; Baptista and Oliveira, 2015; Boateng et al., 2016; Ho and Ko, 2008; Lin and Hsieh.”
Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017, background): “Compared to empirical results of the UTAUT and UTAUT2 models, which explain about 70% of the variations (Baptista & Oliveira, 2015; Min, et al., 2008), the extended model in this study shows significant improvement in explanatory and predictive power of the model.”
How smartphone advertising influences consumers' purchase intention (2019, background): “In total, 303 respondents successfully completed the questionnaire, which can be considered an adequate sample for a research of this kind (Baptista & Oliveira, 2015; Hossein, 2015; Hsia, Chang, & Tseng, 2014; Zhu, Chang, & Luo, 2016).”
The battle of Brain vs. Heart: A literature review and meta-analysis of "hedonic motivation" use in UTAUT2 (2019, methodology): “Out of 53 examinations, the path relationship HMàBI was found significant on 43 instances (e.g. Baptista et al., 2017; Baptista & Oliveira, 2015) and non-significant on the remaining ten instances (Oliveira et al., 2016; Slade et al., 2015a).”
Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2 (2020, background): “Non-significant instances of PV➔BI path include studies on services like “mobile banking” that offers services without special fees over other modes of financial channels (Baptista and Oliveira 2015) and products like “Smartphone” adoption in China where users can get inexpensive phones from as low ”