Welcome to the InfoSci Platform
Reference Hub4
One-Stop Smart Urban Apps and Determinants of Their Continuance Usage: An Empirical Investigation Based on CSCM

One-Stop Smart Urban Apps and Determinants of Their Continuance Usage: An Empirical Investigation Based on CSCM

Bingqian Zhang, Guochao Peng, Fei Xing, Xinting Liang, Qi Gao
Copyright: © 2021 |Volume: 29 |Issue: 6 |Pages: 21
ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799872627|DOI: 10.4018/JGIM.20211101.oa9
Cite Article Cite Article

MLA

Zhang, Bingqian, et al. "One-Stop Smart Urban Apps and Determinants of Their Continuance Usage: An Empirical Investigation Based on CSCM." JGIM vol.29, no.6 2021: pp.1-21. http://doi.org/10.4018/JGIM.20211101.oa9

APA

Zhang, B., Peng, G., Xing, F., Liang, X., & Gao, Q. (2021). One-Stop Smart Urban Apps and Determinants of Their Continuance Usage: An Empirical Investigation Based on CSCM. Journal of Global Information Management (JGIM), 29(6), 1-21. http://doi.org/10.4018/JGIM.20211101.oa9

Chicago

Zhang, Bingqian, et al. "One-Stop Smart Urban Apps and Determinants of Their Continuance Usage: An Empirical Investigation Based on CSCM," Journal of Global Information Management (JGIM) 29, no.6: 1-21. http://doi.org/10.4018/JGIM.20211101.oa9

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This study aimed to explore factors affecting continual usage of one-stop smart urban apps, which is the key to realise the vision of smart cities. A questionnaire (involved a total of 578 users/citizens) was carried out to test the research model, which was established based on existing user behavioural theories and recent literature on smart cities. The results, derived from confirmatory factor analysis and structural equation modelling, confirmed that lower costs (measured by cognitive effort and perceived risks), as well as higher “smartness” (measured by output usefulness, output velocity, and the quality of offline services), would lead to better user satisfaction. Moreover, system quality has indirect influence on user satisfaction (i.e. citizens only feel dissatisfied when system pitfalls affect output usefulness and output velocity of smart urban apps), which together with social influence will determine citizens’ continuance usage intention of smart urban apps.