An Empirical Study of E-Government Service Adoption: Culture and Behavioral Intention

This study seeks to identify and understand the important factors that influence citizens’ behavioral intention to take up e-government services. We adopted a research model empirically tested in the United States. The model integrates three established constructs—the Technology Acceptance Model (TAM), trust, and computer self-efficacy. We conducted the research in the United Arab Emirates (UAE), a leader in e-government development in the Arab world. Our findings are mostly different from the U.S. study and suggest that behavioral intention may be influenced by citizens’ cultural context. This study contributes to a better understanding of citizens’ behavioral intention and adoption factors in e-government, in particular from a cultural perspective. The findings may help governments formulate effective strategies to improve the level of citizens’ uptake of e-government services. This study paves the way for further research on an e-government adoption model that is robust across cultures.     

Citizens’ Readiness to Adopt and Use E-government Services in the City of Harbin,China

This study applied the Technology Acceptance Model (TAM) to investigate the factors that would influence adoption and use of e-government services by citizens of Harbin in China. A total of 382 respondents took part in the study. The findings of this research revealed that Perceived Ease of Use, Perceived Service Quality, and Citizen Trust have significant positive impact on citizens’ intention to adopt and use e-government services while Perceived usefulness was found not to have any significant positive impact on citizens’ intention to use e-government services in Harbin, China. The implications of this study is further discussed.     

Impact of Government Capacity and E-Government Performance on the Adoption of E-Government Services

ABSTRACT

This study explored the impact of government capacity and e-government performance on the adoption of e-government services by integrating it into the Technology Acceptance Model (TAM). The results showed that both government capacity and government performance were significant determinants of the perceived usefulness of e-government services. Also, government capacity was revealed to positively predict e-government performance. In addition, perceived usefulness of e-government services was found to be a significant predictor of the intention to recommend the adoption of e-government services. The implications of these findings on the implementation of e-government are discussed.