Title:
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RESEARCH ON THE WILLINGNESS OF USERS' PRIVACY
CONCERNS TO USE EPIDEMIC PREVENTION
TECHNOLOGY UNDER THE BACKGROUND OF THE
NEW CORONAVIRUS EPIDEMIC |
Author(s):
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Chensang Ye, Jinjing Yang, Miaomiao Zheng and Cong Cao |
ISBN:
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978-989-8704-37-5 |
Editors:
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Miguel Baptista Nunes, Pedro IsaĆas and Philip Powell |
Year:
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2022 |
Edition:
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Single |
Keywords:
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Epidemic Prevention Technology, Privacy Concerns, Self-Disclosure Intention, Use Intention, Structural Equation Model |
First Page:
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197 |
Last Page:
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204 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Nowadays, governments worldwide use artificial intelligence (AI), big data, cloud computing, and other technologies to
control the spread of the epidemic. These measures significantly improve the efficiency of virus tracking. Nevertheless,
such digital defences have also raised concerns about privacy leaks. Privacy concerns and use intention have been studied
in several areas in the existing literature, but few have been explored in-depth based on epidemic prevention. Therefore,
this paper focuses on the background of the novel coronavirus epidemic and constructs a structural equation model based
on the theory of privacy concern and technology acceptance model. The research studies the influence of privacy
concerns, perceived risk, and other factors on users' willingness to use new technologies. Based on 132 samples, the
results show that privacy concerns significantly impact perceived risk. Perceived trust has significant positive impacts on
self-disclosure intention. This study discusses individual self-disclosure intention in the field of public security from
multiple perspectives. The research results extend the relevant theories on adopting and using emerging technologies.
This study provides ideas on how to alleviate residents' privacy concerns in practice and helps government departments to
carry out better prevention work. |
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