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

Abstract

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

Do Smart Citizens Make a Smart City? A Case Study on the Factors Influencing Citizen Behavior Using Lapor Sleman Online-Based

“…In the context of this study and from the government employees' department of communication and information and also the community perspective, social influence, and facilitating condition are the povital or dominant variable in the intention to use the lapor sleman mobile application (Table 4). This supports the argument that social influence which they have a positive affect (Foon and Fah, 2011;Indriwati and Haryoto, 2013;Venkatesh, 2013, Xu, 2014, on user behavior to use technology. Besides, the performance expectancy also has emerge as predictor of the particular users behavior.…”

“…Social Influence is the extent to which a person perceives that other people around him or her (eg, family and friends) can influence him or her to use a certain technology (Venkatesh et al, 2013). According to the research of (Foon and Fah (2011), social influence has a significant influence on behavioral intention, it is also supported by a research conducted by Indrawati and Haryoto (2015) showing that social influence has a positive influence on behavioral intention. According to Venkatesh et al (2003), social influence is the factor determining behavioral intention directly.…”

The antecedents of herbal product actual purchase in Malaysia

“…Others studies that examined the relationship between social influence and intentions also confirmed the effect of social influence toward intention (Al-Shafi & Weerakkody, 2010;Esmaili et al, 2011;Maldonado et al, 2011;Rimal et al, 2006;Sok Foon & Chan Yin Fah, 2011). …”

A Short Review of the Electronic Banking System

“…(2014), Mansour et al (2016), Rodrigues et al (2016), etc.…) which is the adaptation of the Theory of Reason Action (TRA), which was proposed by Fishbein and Ajzen in 1975, Ahmadi and Afrouzi. 2012, Rodrigues et al 2016 and Unified Theory of Acceptance and Use of Technology (UTAUT) developed by Venkatesh et al in 2003. This theory is used very widely for its simplicity, parsimony and robustness (Oshlyansky et al 2007, AbuShanab et al, 2010, Yuen et al, 2010, Foon and Fah, 2011, Venkatesh et al 2012, El-Qirem 2013, Tarhini et al, 2014. The list of the theories used in these reviewed papers is given in Appendix 1.…”