Abstract:Currently, the banking industry is facing increasingly demanding customers and quickly eroding competitive edges. Recent technological breakthroughs in various areas, however, offer opportunities for the banks to excel in customer service quality and convenience. One area of major breakthroughs is the service delivery systems that are reshaping the banking business radically. However, there are relatively few empirical analyses of the impact of tele‐banking service technology on customers. Examines the adoptio… Show more
“…Results chow that instruction is significant factor to explain internet banking adoption. This finding is consistent with the studies done by Karjaluoto et al, (2002), Mattila et al, 2003, Al-Ashban andBurney (2001), Stavins (2001) and Sathye, (1999). Moreover, results show that occupation appears to be significant influent users which are consistent with the finding of earlier studies, for example, Karjaluoto et al, 2002;Mattila et al, 2003 andSathye, 1999.…”
Section: Demographics Of the Samplesupporting
confidence: 83%
“…Demographic factors have also been found to be associated with adoption of different banking channels, especially internet banking (Al-Ashban and Burney, 2001;Karjaluoto et al, 2002;Sathye, 1999). For instance, people with high educational attainment may have an aptitude for computers and possess good information processing skills.…”
The purpose of this paper is to determine those factors that influence the adoption of internet banking services in Tunisia. A theoretical model is provided that conceptualizes and links different factors influencing the adoption of internet banking. A total of 253 respondents in Tunisia were sampled for responding: 95 were internet bank users, 158 were internet bank non users. Factor analyses and regression technique are employed to study the relationship.The results of the model tested clearly that use of internet banking in Tunisia is influenced most strongly by convenience, risk, security and prior internet knowledge. Only information on online banking did not affect intention to use internet banking service in Tunisia. The results also propose that demographic factors impact significantly internet banking behaviour, specifically, occupation and instruction. Finally, this paper suggests that an understanding the factors affecting intention to use internet banking is very important to the practitioners who plan and promote new forms of banking in the current competitive market.
“…Results chow that instruction is significant factor to explain internet banking adoption. This finding is consistent with the studies done by Karjaluoto et al, (2002), Mattila et al, 2003, Al-Ashban andBurney (2001), Stavins (2001) and Sathye, (1999). Moreover, results show that occupation appears to be significant influent users which are consistent with the finding of earlier studies, for example, Karjaluoto et al, 2002;Mattila et al, 2003 andSathye, 1999.…”
Section: Demographics Of the Samplesupporting
confidence: 83%
“…Demographic factors have also been found to be associated with adoption of different banking channels, especially internet banking (Al-Ashban and Burney, 2001;Karjaluoto et al, 2002;Sathye, 1999). For instance, people with high educational attainment may have an aptitude for computers and possess good information processing skills.…”
The purpose of this paper is to determine those factors that influence the adoption of internet banking services in Tunisia. A theoretical model is provided that conceptualizes and links different factors influencing the adoption of internet banking. A total of 253 respondents in Tunisia were sampled for responding: 95 were internet bank users, 158 were internet bank non users. Factor analyses and regression technique are employed to study the relationship.The results of the model tested clearly that use of internet banking in Tunisia is influenced most strongly by convenience, risk, security and prior internet knowledge. Only information on online banking did not affect intention to use internet banking service in Tunisia. The results also propose that demographic factors impact significantly internet banking behaviour, specifically, occupation and instruction. Finally, this paper suggests that an understanding the factors affecting intention to use internet banking is very important to the practitioners who plan and promote new forms of banking in the current competitive market.
“…This proposition was confirmed by Meuter et al [25] who empirically approved income level as a key determinant of both customer readiness and customer experiment of different kinds of self-service technologies. Al-Ashban and Burney [1] also empirically approved income level as a considerable positive predictor of the customers' acceptance of Telebanking in Saudi Arabia. Likewise, according to Kolodinsky et al [20], the adoption rate of Internet banking channels was observed to be in the higher level among customers who have a higher income level instead of lower income customers.…”
“…Competition for customer deposits and investments is intense and banks strive to provide state-ofthe-art services for their customers, especially at the retail or personal level. Driven by the increasing penetration rate of mobile subscriptions in Saudi Arabia which reached 181 % in the third quarter of 2012 (Ethos Interactive, 2012) while 60% of the Saudi population own smart phones (CITC, 2012), Saudi banks have started to provide e-banking solutions for their clients through the usage of the land-line phones (Al-Ashban & Burney, 2001), internet (Al-Somali, Gholami & Clegg, 2009) and mobile phones (Al-Jabri & Sohail, 2012). Until recently, most customers have lined up in queues in banks' branches or at best use the Automatic Teller Machines (ATMs) to conduct their banking transactions.…”
The purpose of this research paper is to develop and examine a research model to understand the factors that affect the intention to use mobile banking services in Saudi Arabia. Based on a paper-based survey of 253 respondents, the study utilized a Partial Least Squares (PLS) to empirically test the model. The results indicated strong support for the validity of proposed model with 66,7% of the variance in intention to use mobile banking. The results also indicated that compatibility was the strongest facilitator of intention while perceived risk was a barrier to the intention to use mobile banking. Trust had strong negative relationship with perceived risk, indicating that trust may alleviate the risk barrier, which could influence intention to use mobile banking. Contrary to previous research, perceived usefulness and perceived ease of use did not have significant effect on intention to use mobile banking. The implications of the findings were discussed and suggestions for future research were presented.
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