User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand

Bhuasiri, Wannasiri; Zo, Hangjung; Lee, Hwansoo; Ciganek, Andrew P.

doi:10.1080/02681102.2016.1173001

Cited by 90 publications

(87 citation statements)

References 62 publications

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“…Findings suggested that perceived risk did not influence continuance usage intention. Therefore, Hypothesis 15 was rejected (β = -.04, p > 0.05), confirming the results of earlier studies (Fu et al, 2006;Bhuasiri, Zob, Leec, and Ciganek 2016;Munoz-Leiva, Climent-Climent, and Liebana-Cabanillas, 2017). In their examination of the e-filing system in Thailand, Bhuasiri et al (2016) argued that perceived risks loses its importance when citizens display positive attitudes and trust toward the service provider.…”

Section: The Relationship Between Confirmation and User Satisfaction supporting

confidence: 76%

“…Therefore, Hypothesis 15 was rejected (β = -.04, p > 0.05), confirming the results of earlier studies (Fu et al, 2006;Bhuasiri, Zob, Leec, and Ciganek 2016;Munoz-Leiva, Climent-Climent, and Liebana-Cabanillas, 2017). In their examination of the e-filing system in Thailand, Bhuasiri et al (2016) argued that perceived risks loses its importance when citizens display positive attitudes and trust toward the service provider. In the context of the study, the MRA is considered to be a credible and trustworthy organization by the Mauritian citizens and such, it is not surprising that perceived risks has been found to be insignificantly related to continuance usage intention.…”

Section: The Relationship Between Confirmation and User Satisfaction supporting

confidence: 76%

See 1 more Smart Citation

What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage

Veeramootoo

Nunkoo

Dwivedi

2018

Government Information Quarterly

285

259

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The purpose of this study is to validate an integrated model of e-filing continuance usage. The model has its theoretical basis in the expectancy confirmation theory and the DeLone and McLean's IS Success model. The model is extended to include two additional constructs relevant to e-filing continuance usage: perceived risks and habit. The model is tested using data collected from a sample of 645 e-filing users in Mauritius. Structural equation modelling was used to test the hypotheses. Findings suggest that citizens' continuance usage intention of e-filing is influenced by system quality, user satisfaction and habit. User satisfaction had the strongest impact on e-filing continuance usage intention. This study makes a valuable contribution to knowledge through the extension and validation of the ECT and IS Success model to explore salient factors affecting e-filing continuance usage intention. The practical implications of the findings for tax collection agencies are discussed.

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Section: The Relationship Between Confirmation and User Satisfaction supporting

confidence: 76%

Section: The Relationship Between Confirmation and User Satisfaction supporting

confidence: 76%

What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage

Veeramootoo

Nunkoo

Dwivedi

2018

Government Information Quarterly

285

259

View full text Add to dashboard Cite

show abstract

“…expectancy were significant predictors of the intention to adopt and use e-government services (Bhuasiri et al, 2016;Kurfalı et al, 2017;Lallmahomed et al, 2017;Lu & Nguyen, 2016;Rodrigues et al, 2016;Venkatesh et al, 2003;Zawaideh, 2016). But however, there are some studies that support the nonsignificant impact of effort expectancy on the behavioral intention to use e-government services (Geci, Prenaj, Zeqiri, & Sholla, 2017;Jacob & Darmawan, 2019;Kurfalı et al, 2017;Naranjo-Zolotov, Oliveira, & Casteleyn, 2019).…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China

Mensah

2019

SAGE Open

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This research article examines the intention of university students to adopt and use e-government services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework for this study. A total of 369 valid responses were collected from Chinese citizens (college students) and used for the data analysis. The data analysis was conducted with SPSS. The results of this study have demonstrated that facilitating conditions, perceived service quality, trust in the government, and social influence were significant predictors of the intention of university students to adopt and use e-government services. Interestingly, performance expectancy, effort expectancy, and trust in the Internet were not significant determinants of the intention to use e-government services. Social influence was significant in determining the trust in the Internet but was not significant in predicting the trust in government. The implications of these findings for the implementation of e-government are discussed.

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“…The reliability of latent variables can be confirmed by Cronbach's α and composite reliability (CR). Generally, reliability is considered to be satisfied when Cronbach's α exceeds 0.7 [49]. Even though Cronbach's α for perceived controllability and perceived reliability are lower than 0.7, the CR value was sufficiently big, so there was no significant problem in reliability (Table 4).…”

Section: Measurement Modelmentioning

confidence: 99%

IoT Smart Home Adoption: The Importance of Proper Level Automation

2018

Self Cite

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The word "smart" has been used in various fields and is widely accepted to mean intelligence. Smart home service, one of the representative emerging technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. However, the intelligence and controllability of a smart home service are contradictory concepts, under certain aspects. In addition, the level of intelligence or controllability of a smart home service that users want may differ according to the user. As potential users of smart home services have diversified in recent years, providing the appropriate functions and features is critical to the diffusion of the service. Thus, this study examines the smart home service features that current users require and empirically evaluates the relationship between the critical factors and the adoption behavior with 216 samples from Korea. The moderating effect of personal characteristics on behavior is also tested. The results of the analysis provide various theoretical and practical implications.

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User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand

Cited by 90 publications

References 62 publications

What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage

What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage

Factors Influencing the Intention of University Students to Adopt and Use E-Government Services: An Empirical Evidence in China

IoT Smart Home Adoption: The Importance of Proper Level Automation

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