Drivers of egovernment adoption amidst COVID-19 pandemic: The Information Adoption Model (IAM) approach. (November 2022)

• Record Type: Journal Article
• Authors: Mensah, Isaac Kofi; Adams, Samuel; Adjei, Joseph Kwame; Mwakapesa, Deborah Simon
• Is Part Of: Information development. Volume 38:Number 4(2022)
• Page Start: 494
• Page End: 509
• Publication Date: 2022-11
• Subjects: e-government -- e-government services -- information adoption model -- COVID-19 -- China; Library science -- Periodicals; Information science -- Periodicals; 020.5
• DOI: 10.1177/02666669211010872
• Languages: English
• ISSNs: 0266-6669

Abstract

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.