2012
DOI: 10.1016/j.sbspro.2012.09.1210
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The Effects of Computer Self-Efficacy and Technology Acceptance Model on Behavioral Intention in Internet Banking Systems

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Cited by 59 publications
(76 citation statements)
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“…The effects of self-efficacy on technology usage have also been explored and proven vital in many other studies, such as older studies on web-based IS acceptance (Laver, George, Ratcliffe, & Crotty, 2012;Mun & Hwang, 2003), e-service acceptance (Hsu & Chiu, 2004;Wang, Yeh, & Liao, 2013), and IS acceptance (Hasan, 2006), to recent studies relating to educators' technology acceptances (Celik & Yesilyurt, 2013;Holden & Rada, 2011), internet banking (Ariff, Yeow, Zakuan, Jusoh, & Bahari, 2012), and e-learning acceptance (Calisir et.al, 2014;Hsia, Chang, & Tseng, 2014). Lee and Lehto's (2013) study examined user behavioural intention to use YouTube for procedural learning, and findings acknowledged self-efficacy as significant predictor of usefulness towards behavioural intention.…”
Section: Social Cognitive Theorymentioning
confidence: 99%
“…The effects of self-efficacy on technology usage have also been explored and proven vital in many other studies, such as older studies on web-based IS acceptance (Laver, George, Ratcliffe, & Crotty, 2012;Mun & Hwang, 2003), e-service acceptance (Hsu & Chiu, 2004;Wang, Yeh, & Liao, 2013), and IS acceptance (Hasan, 2006), to recent studies relating to educators' technology acceptances (Celik & Yesilyurt, 2013;Holden & Rada, 2011), internet banking (Ariff, Yeow, Zakuan, Jusoh, & Bahari, 2012), and e-learning acceptance (Calisir et.al, 2014;Hsia, Chang, & Tseng, 2014). Lee and Lehto's (2013) study examined user behavioural intention to use YouTube for procedural learning, and findings acknowledged self-efficacy as significant predictor of usefulness towards behavioural intention.…”
Section: Social Cognitive Theorymentioning
confidence: 99%
“…It is worthy to know that computer self-efficacy construct has been used in IS researches to elucidate user perception on his/her ability to use computer in the performance and accomplishment of job tasks (Compeau and Hinggins, 1995). In addition, CSE has been found in previous studies as a factor that influence information system's usage in individuals (John 2013;Ariff, Min, Zakuan, Ishak and Ismail 2013;Cassidy and Eachus, 2002). In this regard, this study finds CSE as an appropriate factor to use in examining its influence on employees' intention towards the use of e-collection in Nigerian federal hospitals.…”
Section: The Research Frameworkmentioning
confidence: 51%
“…However, despite the seeming benefits of e-collection system use, employees' attitude toward the system is not encouraging for their unwillingness to embrace this new technology in the workplace (Oyegoke, 2013). Notwithstanding, previous studies such as Diatmika, Irianto and Baridwan (2016), and Ariff, Min, Zakuan, Ishak and Ismail (2013) to mention among others, have identified several factors that influence individual intention to use a new system. Furthermore, the most widely information system (IS) model that is being used by researchers in technology acceptance studies is the Technology Acceptance Model (TAM) developed by Davis (1989).…”
Section: Introductionmentioning
confidence: 94%
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“…These problems also keep potential negative consequences such as increase in perceived risk, loss of trust and needs for better security, which may be suboptimal from an economical perspective (van der Meulen, 2013). Ariff et al (2012) investigated the effects of computer self-Efficacy and technology acceptance model on behavioral intention in Internet banking systems. Normalini and Ramayah (2012) investigated whether biometrics technologies implementation in Internet banking could reduce security issues or not.…”
Section: Introductionmentioning
confidence: 99%