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An Empirical Research on the Construction of a Government Website Public Satisfaction Index Model in China

An Empirical Research on the Construction of a Government Website Public Satisfaction Index Model in China

Haitao Li
Copyright: © 2021 |Volume: 29 |Issue: 5 |Pages: 26
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799872610|DOI: 10.4018/JGIM.20210901.oa7
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MLA

Li, Haitao. "An Empirical Research on the Construction of a Government Website Public Satisfaction Index Model in China." JGIM vol.29, no.5 2021: pp.112-137. http://doi.org/10.4018/JGIM.20210901.oa7

APA

Li, H. (2021). An Empirical Research on the Construction of a Government Website Public Satisfaction Index Model in China. Journal of Global Information Management (JGIM), 29(5), 112-137. http://doi.org/10.4018/JGIM.20210901.oa7

Chicago

Li, Haitao. "An Empirical Research on the Construction of a Government Website Public Satisfaction Index Model in China," Journal of Global Information Management (JGIM) 29, no.5: 112-137. http://doi.org/10.4018/JGIM.20210901.oa7

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Abstract

With proliferated applications of the internet and world wide web, people are increasingly interacting with government websites. It is therefore significant to measure satisfaction on government systems from citizen's perspective. While general customer satisfaction index (CSI) models have received much attention from researchers, few studies are conducted to evaluate public satisfaction on government websites. The extent to which traditional CSI models can be extended to investigate public satisfaction on government websites remains unclear. On analysis of CSI, technology acceptance model (TAM), and task-technology fit (TTF) model, this study constructs a government website public satisfaction index (GWPSI) model and provides an empirical study by adapting GWPSI model in the context of G2C e-government. Structural equation modeling (SEM) is applied to data collection and processing with questionnaires collected from users of the government website of Guangdong Province in China. The findings provide several important implications for e-government research and practice.