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Drivers of egovernment adoption amidst COVID-19 pandemic: The Information Adoption Model (IAM) approach
Information Development ( IF 2.079 ) Pub Date : 2021-05-04 , DOI: 10.1177/02666669211010872
Isaac Kofi Mensah 1 , Samuel Adams 2 , Joseph Kwame Adjei 2 , Deborah Simon Mwakapesa 1
Affiliation  

The study scrutinized the behavioral adoption of informational e-government services among Chinese citizens in the midst of the COVID-19 pandemic. A structural equation modeling (SEM) technique was applied for the data analysis using Smart PLS 3.0 statistical software. The results show that information quality, information credibility, and ease of COVID-19 informational e-government services are significant in determining citizens’ perception of the usefulness of COVID-19 information shared on e-government platforms. Also, the study revealed that the perceived usefulness of COVID-19 informational e-government services was significant in predicting citizens’ intention to adopt and recommend COVID-19 informational e-government services. The theoretical and practical implications of these findings are interrogated further.

更新日期:2021-05-04
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