2019
DOI: 10.4102/sajim.v21i1.1016
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Predicting the attitude towards electronic banking continued usage intentions among rural banking customers in South Africa

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Cited by 10 publications
(26 citation statements)
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References 18 publications
(22 reference statements)
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“…The current subsection examined the possible effect of age on security risk factors and e-government service adoption. While some authors had argued that security risk factors have a predictive relevance to the adoption of e-government services, authors also state that it is equally important to connect them to institutional logics (Chang et al, 2018;Nkoyi et al, 2019). One key factor drawn from institutional logics, as highlighted by Nkoyi et al (2019), is the possible interaction between the effect of age on citizens' perception of the security risk factors and therefore, their lower adoption level of e-government services.…”
Section: Security Risk Factors and Age: Predictors Of Citizens' E-government Services Adoptionmentioning
confidence: 99%
See 2 more Smart Citations
“…The current subsection examined the possible effect of age on security risk factors and e-government service adoption. While some authors had argued that security risk factors have a predictive relevance to the adoption of e-government services, authors also state that it is equally important to connect them to institutional logics (Chang et al, 2018;Nkoyi et al, 2019). One key factor drawn from institutional logics, as highlighted by Nkoyi et al (2019), is the possible interaction between the effect of age on citizens' perception of the security risk factors and therefore, their lower adoption level of e-government services.…”
Section: Security Risk Factors and Age: Predictors Of Citizens' E-government Services Adoptionmentioning
confidence: 99%
“…While some authors had argued that security risk factors have a predictive relevance to the adoption of e-government services, authors also state that it is equally important to connect them to institutional logics (Chang et al, 2018;Nkoyi et al, 2019). One key factor drawn from institutional logics, as highlighted by Nkoyi et al (2019), is the possible interaction between the effect of age on citizens' perception of the security risk factors and therefore, their lower adoption level of e-government services. Thus, while security risks are considered relevant predictors of the public's adoption level of e-government services, some authors suggest that age is the stronger indicator (Nkoyi et al, 2019).…”
Section: Security Risk Factors and Age: Predictors Of Citizens' E-government Services Adoptionmentioning
confidence: 99%
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“…According to technology acceptance model (TAM) that indicates that the acceptance of any information system depends only on the influence of perceived usefulness and perceived ease-of-use on customer attitudes and intentions to adopt a particular information system, as well as perceived easeof-use has a significant effect on perceived enjoyment (Nkoyi et al, 2019). According to Wakefield et al (2011), this study defined ease-of-use as "the extent to which bank customers' adoption of gamified bank websites is perceived as easy or effortless".…”
Section: Website Features 21 Website Ease-of-usementioning
confidence: 99%
“…In addition, Nkoyi, Tait and Van der Walt (2019) agreed that PU is the degree to which a person thinks that using a particular scheme will improve his or her job performance; as such, PU is the subjective probability of the user that using a particular technology will boost his or her job performance. In addition, it can be observed that PU is the conviction that visitors would enhance their event experience by using the request for an event or conference (Nkoyi et al 2019).…”
Section: Empirical Literaturementioning
confidence: 99%