2017
DOI: 10.1088/1757-899x/226/1/012096
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Modelling End-User of Electronic-Government Service: The Role of Information quality, System Quality and Trust

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Cited by 14 publications
(13 citation statements)
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“…The analysis of correlation coefficients confirmed that a higher level of perceived risk contributes to a lower level of trust in e-Declaration. Results achieved were opposite to the results of Carter and Bélanger (2008) and Jasimuddin et al (2017) who proved that higher levels of perceived risk did not decrease the intention to use. The obtained results, which supported the hypothesis H4, were consistent with the results of other authors and confirmed that a lower level of perceived safety lowered the level of solution adoption (Ranaweera, 2016).…”
Section: Discussioncontrasting
confidence: 91%
See 1 more Smart Citation
“…The analysis of correlation coefficients confirmed that a higher level of perceived risk contributes to a lower level of trust in e-Declaration. Results achieved were opposite to the results of Carter and Bélanger (2008) and Jasimuddin et al (2017) who proved that higher levels of perceived risk did not decrease the intention to use. The obtained results, which supported the hypothesis H4, were consistent with the results of other authors and confirmed that a lower level of perceived safety lowered the level of solution adoption (Ranaweera, 2016).…”
Section: Discussioncontrasting
confidence: 91%
“…According to Pavlou, perceptions of trust and risk are likely to be important factors in predicting the intention to use B2C e-commerce (Pavlou, 2003). Many other authors maintained that perceived risk was an important variable that affected an end-user's intention to use digital technologies (Jasimuddin et al, 2017). It seems that perceived risk should negatively influence the intention to use an e-government service, but research conducted by Carter and Bélanger (2008) rejected such a hypothesis by proving that higher levels of perceived risk did not impede the intention to use.…”
Section: Research Model and Hypothesesmentioning
confidence: 99%
“…Furthermore, users also trust the ability and privacy of the technology to perform their transactions. This means the user can strongly trust government initiatives in providing online services to the public [13]- [16]. Table IV, the statistical value t is 3.582, so it can be concluded that PE has significant effect to behavior intention.…”
Section: Fig 2 Structural Model Resultsmentioning
confidence: 80%
“…These non-measurable variables are named as latent variables which require a manifest variable as an indicator or measure of the latent variable. In its development, SEM is a popular method because it can be applied to several analysis, such as causal modeling analysis, confirmation analysis, second-order factor analysis, regression models analysis, covariance structure models analysis and correlation structure models analysis [16].…”
Section: Structural Equation Modeling (Sem)mentioning
confidence: 99%
“…A study conducted by Hariguna (2017), Jacob et al (2017), Zhou (2014) concluded that there is a positive and moral relationship between the system quality and the performance expectancy, the following hypothesis was suggested:…”
Section: Electronic Government Systemmentioning
confidence: 99%