Internet Banking Adoption in Kuala Lumpur: An Application of UTAUT Model

By Yeoh Sok Foon, B. Fah. 2011

369 citations recorded by the source corpus.

Internet banking is becoming a new focuses as the number of internet users is increasing globally and its benefits. This study aimed to investigate the factors and determinants of internet banking adoption among Malaysian. Four factors that proposed to influence the adoption from Unified theory of acceptance and use of technology were included in this study. A total of 200 respondents were collected using convenience sampling. Results of this study showed that performance expectancy (r = 0.51, p < 0.01), effort expectancy (r = 0.55, p < 0.01), social influence (r = 0.64, p < 0.01), facilitating condition (r = 0.63, p < 0.01) and trust (r = 0.55, p < 0.01) were positively correlated with behavioral intention among respondents. Analysis of multiple linear regressions was used to determine the predictors of internet banking adoption among Malaysian. The results showed that performance expectancy, effort expectancy, social influence, facilitating condition and trust explained 56.6% variance of behavioral attention among the respondents (F = 50.54, p < 0.01). Knowing the determinants on internet banking adoption could help banking company to improve their service to attract more users. Besides, the use of internet banking could reduce the frequency to bank that indirectly reduce air pollution.

Subfields: Accounting, Information Systems and Management, Marketing

View Paper: https://www.semanticscholar.org/paper/124839db6ac7e021262a97c95e2832652ac13590

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Citations in the corpus

Integration of UTAUT model in internet banking adoption context (2019, background): “Several researchers have provided evidence of significant influence of performance expectancy on user behavioral intention to adopt internet banking (AbuShanab et al., 2010; Foon and Fah, 2011; Khalil et al., 2010; Martins et al., 2014; Oliveira et al., 2016).”
Citizens’ adoption of an electronic government system: towards a unified view (2015, background): “This inclusion is based on appropriate theoretical foundations (Ajzen 1991; Taylor and Todd 1995b) and empirical findings (e.g., Eckhardt et al. 2009; Foon and Fah 2011; Yeow and Loo 2009) which support the effects of facilitating conditions on behavioural intention.”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “Limited Sample Size 14 Small sample size Aggelidis and Chatzoglou (2009), Chiu and Eysenbach (2010), Duyck et al. (2008), Foon and Fah (2011), Hutchison and Bekkering (2009), Lee et al. (2010a), Maldonado et al. (2009), Marchewka et al. (2007), McLeod et al. (2009a), Pynoo et al. (2011), Or et al.…”
Factors affecting e-commerce adoption among SMEs in Ghana (2016, methodology): “Huang and Qin (2011) examined the influence of facilitating conditions on behavioural intention to use a virtual fitting room in China; contrary to the findings of Foon and Fah (2011), they found no significant influence.”
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, methodology): “Thus, this model becomes one of the most widely used models among others due to its simplicity, parsimony and robustness (Abu-Shanab et al. , 2010; Yuen et al. , 2010; Foon and Fah, 2011; Venkatesh et al. , 2012; Tarhini et al. , 2015).”
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017, background): “Prior studies (e.g., Duyck et al. 2010; Foon and Fah 2011; Yeow and Loo 2009) suggest that facilitating conditions influence behavioural intention even in the presence of effort expectancy.”
An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, result): “…1991; Taylor & Todd, 1995b) of its root constructs (such as perceived behavioral control and facilitating condition), followed by the empirical findings (e.g. Eckhardt et al., 2009; Foon & Fah, 2011; Yeow & Loo, 2009) that support the effect of facilitating conditions on behavioral intention.”
A systematic review of Internet banking adoption (2014, neutral): “…India R TAM 139 (Dimitriadis and Kyrezis, 2011) Dimitriadis and Kyrezis 2011 Greece R/C Ch TAM 140 (Echchabi, 2011) Echchabi 2011 Morocco R TAM 141 (Foon and Fah, 2011) Foon and Fah 2011 Malaysia R UTAUT 142 (Gilaninia et al., 2011) Gilaninia et al. 2011 Iran R TAM 143 (Im et al., 2011) Im et…”
Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM) (2020, background): “Privacy (P) Generally, privacy can be described as the state to be left alone [69].”