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Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic
The COVID-19 global pandemic has posed unprecedented challenges to nations and cities worldwide. Governments have adopted Information and Communication Technologies (ICTs) to rapidly control the spread of a novel coronavirus. As an innovative but controversial ICT-based tool, health QR code plays a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656336/ https://www.ncbi.nlm.nih.gov/pubmed/34903901 http://dx.doi.org/10.1016/j.cities.2021.103536 |
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author | Guo, Yue Chen, Jidong Liu, Zhilin |
author_facet | Guo, Yue Chen, Jidong Liu, Zhilin |
author_sort | Guo, Yue |
collection | PubMed |
description | The COVID-19 global pandemic has posed unprecedented challenges to nations and cities worldwide. Governments have adopted Information and Communication Technologies (ICTs) to rapidly control the spread of a novel coronavirus. As an innovative but controversial ICT-based tool, health QR code plays a vital role by assisting rapid contact tracing. Yet, whether and how citizens accept this policy tool remains an unknown theoretical and empirical question. In this paper, we study the sources that determine citizens' acceptance of health QR code in city governance. Based on a nation-wide online survey covering 28 major provincial-capital cities in China, we find that individual experiences and political identities affect citizens' acceptance of QR code. Even though public opinion regarding this issue is diverse, the government's responses to citizens' requests play a critical role in enhancing their acceptance of using QR code both in the current and future stages. Specifically, as the citizens perceive a higher level of city government responsiveness, they are less worried about privacy leaks and more likely to perceive the effectiveness of health QR code in improving public health, thus resulting in a higher acceptance. The results offer broad policy implications for smart cities and urban governance. |
format | Online Article Text |
id | pubmed-8656336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86563362021-12-09 Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic Guo, Yue Chen, Jidong Liu, Zhilin Cities Article The COVID-19 global pandemic has posed unprecedented challenges to nations and cities worldwide. Governments have adopted Information and Communication Technologies (ICTs) to rapidly control the spread of a novel coronavirus. As an innovative but controversial ICT-based tool, health QR code plays a vital role by assisting rapid contact tracing. Yet, whether and how citizens accept this policy tool remains an unknown theoretical and empirical question. In this paper, we study the sources that determine citizens' acceptance of health QR code in city governance. Based on a nation-wide online survey covering 28 major provincial-capital cities in China, we find that individual experiences and political identities affect citizens' acceptance of QR code. Even though public opinion regarding this issue is diverse, the government's responses to citizens' requests play a critical role in enhancing their acceptance of using QR code both in the current and future stages. Specifically, as the citizens perceive a higher level of city government responsiveness, they are less worried about privacy leaks and more likely to perceive the effectiveness of health QR code in improving public health, thus resulting in a higher acceptance. The results offer broad policy implications for smart cities and urban governance. Elsevier Ltd. 2022-03 2021-12-09 /pmc/articles/PMC8656336/ /pubmed/34903901 http://dx.doi.org/10.1016/j.cities.2021.103536 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Guo, Yue Chen, Jidong Liu, Zhilin Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic |
title | Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic |
title_full | Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic |
title_fullStr | Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic |
title_full_unstemmed | Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic |
title_short | Government responsiveness and public acceptance of big-data technology in urban governance: Evidence from China during the COVID-19 pandemic |
title_sort | government responsiveness and public acceptance of big-data technology in urban governance: evidence from china during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656336/ https://www.ncbi.nlm.nih.gov/pubmed/34903901 http://dx.doi.org/10.1016/j.cities.2021.103536 |
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