Determinants of citizens’ mobile apps future use in Chinese local governments: An analysis of survey data
Transforming Government: People, Process and Policy
Article publication date: 15 May 2017
This paper aims to explore the determinants of citizens’ future use of mobile applications provided by government. Research on citizen-initiated contacts with government has focused on both non-technology and technology related contacts. Existing research, however, has not examined the impact of mobile applications or “apps” on citizen-initiated contacts with government. Furthermore, existing research has not examined satisfaction with mobile government and whether this impacts future use.
The authors examine future use of mobile apps through an empirical analysis of a public opinion survey of citizen users in four of the largest cities in China (Beijing, Shanghai, Guangzhou and Shenzhen).
Using ordered logistic regression analysis, this study found that the strongest predictors of future use were demand and satisfaction with mobile apps. However, there was no wide-scale evidence of socioeconomic status and age impacting mobile apps future use.
The findings in this study contribute to both theory and practice of the determinants of mobile government adoption.
The results challenge the citizen-initiated contact theory, as socioeconomic status was not a major predictor of mobile apps future use in China. The results further indicate that satisfaction was a good predictor of mobile apps future use.
This work was supported by the MOE Project of Key Research Institute of Humanities and Social Sciences in Universities “New Technological Revolution and Transformation of Public Governance” [grant number 16JJD630013]; and the MOE Project of Key Research Institute of Humanities and Social Sciences in Universities “Scientific and Technological Revolution and State Governance: A Study Based on China’s Smart Cities” [grant number 15JJD630014].
Reddick, C.G. and Zheng, Y. (2017), "Determinants of citizens’ mobile apps future use in Chinese local governments: An analysis of survey data", Transforming Government: People, Process and Policy, Vol. 11 No. 2, pp. 213-235. https://doi.org/10.1108/TG-11-2016-0078
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