Paper Type
Complete
Description
Governments worldwide recognize a need to provide services online to their citizens. Increasingly, these services have become sophisticated through the application of advanced technologies. Nevertheless, the adoption of such services often lags behind expectations. Thus, this study proposes and tests an extension of the unified model of electronic government adoption (UMEGA) to the context of smart e-government services in Germany. It was empirically tested using the data of 330 respondents. The adapted model greatly exceeds other studies that applied an adapted UMEGA regarding the explanatory power on attitude, while the study proves that resistance to change in the investigated context unfolds a highly significant impact on behavioral intention compared to other findings. Concluding, the proposed model supports governments in planning smart e-government services and corresponding strategies more holistically by understanding the factors that influence citizens' adoption.
Paper Number
1265
Recommended Citation
Watkowski, Laura; Drechsler, Andreas; and Hönigsberg, Sarah, "Fostering the Adoption of Smart E-Government Services in Germany" (2023). AMCIS 2023 Proceedings. 3.
https://aisel.aisnet.org/amcis2023/sig_egov/sig_egov/3
Fostering the Adoption of Smart E-Government Services in Germany
Governments worldwide recognize a need to provide services online to their citizens. Increasingly, these services have become sophisticated through the application of advanced technologies. Nevertheless, the adoption of such services often lags behind expectations. Thus, this study proposes and tests an extension of the unified model of electronic government adoption (UMEGA) to the context of smart e-government services in Germany. It was empirically tested using the data of 330 respondents. The adapted model greatly exceeds other studies that applied an adapted UMEGA regarding the explanatory power on attitude, while the study proves that resistance to change in the investigated context unfolds a highly significant impact on behavioral intention compared to other findings. Concluding, the proposed model supports governments in planning smart e-government services and corresponding strategies more holistically by understanding the factors that influence citizens' adoption.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
SIG EGov