Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach
By Ali Tarhini, Mazen El-Masri, Maged Ali, Alan Serrano. Information Technology and People, 2016
379 citations recorded by the source corpus.
Purpose A number of studies have shown that internet banking (IB) implementation is not only determined by banks or government support, but also by perceptions and experience of IB users. IB studies have showed encouraging results from academics in developed countries. Yet little is known about the user adoption of IB in Lebanon. The purpose of this paper is to investigate the factors that may hinder or facilitate the acceptance and usage of IB in Lebanon. Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (UTAUT) by incorporating two additional factors namely; perceived credibility (PC) and task-technology fit (TTF). A quantitative approach based on cross-sectional survey was used to collect data from 408 IB consumers. Data were analysed using structural equation modelling based on AMOS 20.0. Findings The results of the structural path revealed that performance expectancy (PE), social influence, PC and TTF to be significant predictors in influencing customers’ behavioural intention (BI) to use IB and explained 61 per cent of its variance, with PE was found the strongest antecedent of BI. Contrary to the UTAUT, the effect of effort expectancy on BI was insignificant. In addition, both BI and facilitating conditions were found to affect the actual usage behaviour and explained 64 per cent of its variance Practical implications This study would be helpful for bank managers and policy makers to explain the currently relatively low penetration rate of IB in formulating strategies to encourage the adoption and acceptance of IB by Lebanese customers, where IB is still considered an innovation. Originality/value This study is the first research that extend the UTAUT by incorporating two additional factors namely; PC and TTF to study the IB in the Lebanese context. This study contributes to the research on computer technology usage by looking at IB adoption and incorporation into the lives of customers via the BI to use and actual usage of IB in Lebanon.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/327966a0593483f32258de85326b2725617464aa
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In Information Systems and Management
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Tarhini
- Kate S. Hone
- M. Merhi
- Raed Salah Algharabat
- Mazen El-Masri
In Organizational Behavior and Human Resource Management
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Tarhini
- Kate S. Hone
- M. Merhi
- Raed Salah Algharabat
- Mazen El-Masri
In Sociology and Political Science
- Ali Abdallah Alalwan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Kate S. Hone
- M. Merhi
- Raed Salah Algharabat
- Ali Tarhini
- Mazen El-Masri
Citations in the corpus
- A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust (2019, methodology): “Moreover, the model was validated in di ff erent countries and contexts such as Internet Technology [41,42], Internet Banking [19,43,44], E-government and Mobile Banking [45,46] among others, albeit oftentimes incompletely by dropping certain of its factors (i.e. Hedonic Motivations, Price value…”
- Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) (2017, methodology): “These items were adapted from Venkatesh et al. (2012) and related work Tarhini et al. (2016a); Teo (2009) and Venkatesh and Zhang (2010).”
- Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk (2018, background): “Thus, further benefits and utilities perceived by using IB could contribute to the price value of IB (Alalwan et al., 2016b; Sheth et al., 1991; Tarhini et al., 2016; Zhu et al., 2013).”