How Does Censorship Shape Citizens’ Participations of Mobile Government Social Media? A Value Perspective

Zhang, Miao; Yang, Shuiqing

doi:10.1007/978-3-030-50350-5_17

Cited by 1 publication

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…M-government is seen as a significant study area motivated by the awareness of SM but not merely the usage of mobile handsets (Al-Nuaim, 2014;Khan et al, 2020). Inside government, the potential of social media in facilitating larger-scale intragovernmental collaboration in the e-government process has been articulated, hence m-government service through social media is becoming the government agencies' common choice (Medaglia and Zhu, 2017;Zhang and Yang, 2020). Governments are enthusiastic about leveraging SM applications such as Twitter, WeChat, Facebook, and TikTok to integrate public affairs into people's social lives and improve people's adoption of m-government services (Khan et al, 2014;Mahmood, 2021).…”

Section: Introductionmentioning

confidence: 99%

The predictors of mobile government services adoption through social media: A case of Chinese citizens

Mensah

Wang

et al. 2022

Information Development

View full text Add to dashboard Cite

This research studied the factors accounting for Chinese citizens’ behavioral adoption of mobile government services via social media platforms. Social media innovations have empowered governments to better interact and stay in touch with citizens, and thus understanding citizens’ adoption of government services via social media will enable policymakers to leverage social media to better meet the service requirements of citizens. Drawing upon the Chinese mobile-government context, this research framework was made on the Technology Acceptance Model (TAM) while the analysis of data was completed with Smart PLS by the use of the SEM procedure. The analysis has surprisingly discovered that perceived usefulness (PU) does not predict the adoption of mobile government services through social media. However, perceived information quality was significant in determining both the PU and adoption behavior. It was also shown that factors such as perceived security, perceived mobility, trendiness, and interactivity were all significant determinants of both the perceived usefulness and adoption intention respectively. The research and managerial consequences of the study outcomes on m-government development and diffusion are thoroughly considered.

show abstract