Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior

By Mohamed Gamal Aboelmaged, T. Gebba. 2013

355 citations recorded by the source corpus.

This study aims at extending our understanding regarding the adoption of mobile banking throughintegrating Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Analyzingsurvey data from 119 respondents yielded important findings that partially support research hypotheses.The results indicated a significant positive impact of attitude toward mobile banking and subjective normon mobile banking adoption. Surprisingly, the effects of behavioral control and usefulness on mobilebanking adoption were insignificant. Furthermore, the regression results indicated a significant impact ofperceived usefulness on attitude toward mobile banking while the effect of perceived ease of use onattitude toward mobile banking was not supported. The paper concludes with a discussion of researchresults and draws several implications for future research.

Subfields: Accounting, Information Systems and Management, Marketing

View Paper: https://www.semanticscholar.org/paper/fece6c3e6373781b76f5459ba2856a065f3ea2d3

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Citations in the corpus

Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019, background): “Trust is an interdisciplinary concept that has been studied by scholars in sociology, management, organizational behavior, and other ﬁelds [39–41].”
Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions (2018, background): “3 Aboelmaged and Gebba (2013) review a model that combines TAM and TPB main elements, but there are no interaction effects between distinct concepts from the two opposing models.”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “Thus, M-Banking enables users to connect with the cyber world at any moment and trade simultaneously, and this in turn has changed the ways of using banking services (Aboelmaged and Gebba, 2013).”
Understanding the Blockchain technology adoption in supply chains-Indian context (2018, methodology): “Supply chains can leverage the beneﬁts of modern technologies to fetch competitive advantage for the ﬁrms (Gunasekaran, Lai, and Edwin Cheng 2008).”
Predicting the intention to use mobile banking in India (2018, background): “…Lin, 2005; Lee et al., 2007; Norzaidi 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…”
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): “Studies have shown a positive association between mobile banking's perceived usefulness and the incidence of the initial willingness to use it [9,13,59,60].”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, background): “Several studies have demonstrated the direct relationship between perceived usefulness and attitude (Muñoz et al., 2012; Aboelmaged & Gebba, 2013; Krishanan, Khin, Teng, & Chinna, 2016).”
Mobile banking adoption: A literature review (2015, background): “As Table 4 reveals, some authors used one specific adoption theory or an extension of it, such as the technology acceptance model (TAM) (e.g., Aboelmaged and Gebba, 2013; Chitungo and Munongo, 2013; Safeena et al., 2012), innovation diffusion theory (IDT) (e.g., Kim et al., 2009; Lin, 2011), or the…”