Internet banking acceptance model: Cross-market examination

By Bander Alsajjan, Charles Dennis. 2010

372 citations recorded by the source corpus.

This article proposes a revised technology acceptance model to measure consumers' acceptance of Internet banking, the Internet banking acceptance model (IBAM). Data was collected from 618 university students in the United Kingdom and Saudi Arabia. The results suggest the importance of attitude, such that attitude and behavioral intentions emerge as a single factor, denoted as "attitudinal intentions" (AI). Structural equation modeling confirms the fit of the model, in which perceived usefulness and trust fully mediate the impact of subjective norms and perceived manageability on AI. The invariance analysis demonstrates the psychometric equivalence of the IBAM measurements between the two country groups. At the structural level, the influence of trust and system usefulness on AI varies between the two countries, emphasizing the potential role of cultures in IS adoption. The IBAM is robust and parsimonious, explaining over 80% of AI.

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

View Paper: https://www.semanticscholar.org/paper/ed0fd0f25a440d3cd070aa7d409a799d59c47b4c

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In Organizational Behavior and Human Resource Management

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Citations in the corpus

Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions (2018, positive): “…TAM in a variety of settings such as: handheld devices (Bruner & Kumar, 2005), differing demographics (Porter & Donthu, 2006), internet banking (Alsajjan & Dennis, 2010), SMS advertising (Muk & Chung, 2015), mobile advertising (Yang, Kim, & Yoo, 2013), and traditional e-commerce (Ha & Stoel,…”
The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption (2014, background): “The notion to test the applicability of the TAM across cultures (i.e., outside Western cultures) has recently drawn the attention of marketing and e-commerce researchers (Almutairi 2007; Alsajjan and Dennis 2010; McCoy, Galletta, and King 2007; Straub, Keil, and Brennan 1997).”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, positive): “(2009) and Alsajjan and Dennis (2010). Also, the negative effect of trust on risk -- H9 (ˇ = −0.67; p = 0.000) is confirmed, as stated in research by Pavlou (2003) and Silva-Bidarra, Muñoz-Leiva, and LiébanaCabanillas (2013). Finally, there is not empirical evidence to accept hypothesis H12, that is”
A systematic review of Internet banking adoption (2014, background): “…et al. 2010 Jordan R UTAUT 106 (Al-Majali and Nik Mat, 2010) Al-Majali and Nik Mat 2010 Jordan R DTPB 107 (Alsajjan and Dennis, 2010) Alsajjan and Dennis 2010 Saudi Arabia, UK R/C P TAM, TRA, CTT 108 (Boyacioglu et al., 2010) Boyacioglu et al. 2010 Turkey D A – 109 (Campbell and…”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, background): “PEOU Pavlou (2002a, 2003), Gefen, Karahanna, et al. (2003), Alsajjan and Dennis (2010) PR ?”
Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016, positive): “Alsajjan and Dennis (2010) found that trust influences consumer”
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, background): “…models and especially UTAUT have not been widely tested in developing countries such as Arab countries in general (Abu-Shanab and Pearson, 2009; Al-Ajam and Nor, 2013; Kamoun and Almourad, 2014; Zhao et al. , 2012) and Lebanon in particular (Alsajjan and Dennis, 2010; Tarhini et al. , 2014a, b).”