Research on Residents' Privacy Information Disclosure Intention in Epidemic Environments
Authors: 
Shugang Li, Beiyan ZhangAuthors Info & Claims
Shugang Li, Beiyan ZhangAuthors Info & ClaimsPages 99 - 104
Abstract
The technology monitoring measures play an important role in COVID-19's prevention and control in China. However, some residents are unwilling to be monitored, and their willingness to disclose information is low, which hinders the promotion of technology monitoring. This research aims to analyze the influencing factors of residents' privacy information disclosure intention in epidemic environments based on the privacy calculus theory. Firstly, this research reviews the related research on privacy calculus, puts forward research hypotheses, and establishes a conceptual model. Then, the data were collected by questionnaire and the reliability and validity of the scale used were tested. Finally, this research uses the software of MPLUS to verify the overall fit of the model, and test the significance of the hypotheses. The research results show that information sensitivity and self-perceived efficiency will affect the privacy calculation, and then affect the residents' privacy information disclosure intention, and subjective norms, self-perceived efficacy, perceived benefits, and perceived risks will directly affect the residents' privacy information disclosure intention. These conclusions can provide guidance for the formulation of the promotion plan of technology monitoring, help the government to promote technology monitoring, improve the epidemic prevention and control ability of the society.
References
[1]
Wang, L., Yan, J., Lin, J., & Cui, W. 2017. Let the users tell the truth: Self-disclosure intention and self-disclosure honesty in mobile social networking. International Journal of Information Management, Vol.37, 1(February 2017), 1428--1440.
[2]
Shibchurn, J., & Yan, X. 2015. Information disclosure on social networking sites: An intrinsic-extrinsic motivation perspective. Computers in Human Behavior, Vol.44 (March 2015), 103--117.
[3]
Li, H., Sarathy, R., & Xu, H. 2011. The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, Vol.51, 3(June 2011), 434--445.
[4]
Sun, Y., Wang, N., Shen, X. L., & Zhang, J. X. 2015. Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, Vol.52 (November 2015), 278--292.
[5]
Li, H., Sarathy, R., & Xu, H. 2010. Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, Vol.51, 1 (September 2010), 62--71.
[6]
Hallam, C., & Zanella, G. 2017. Online self-disclosure: The privacy paradox explained as a temporally discounted balance between concerns and rewards. Computers in Human Behavior, Vol.68 (March 2017), 217--227.
[7]
Laufer, R. S., & Wolfe, M. 1977. Privacy as a concept and a social issue: A multidimensional developmental theory. Journal of social Issues, Vol.33, 3 (July 1997), 22--42.
[8]
Culnan, M. J., & Bies, R. J. 2003. Consumer privacy: Balancing economic and justice considerations. Journal of social issues, Vol.59, 2 (July 2003), 323--342.
[9]
Ajzen, I. 1991. The theory of planned behavior. Organizational behavior and human decision processes, Vol. 50, 2 (December 1991), 179--211.
[10]
Chang, C. W., & Chen, G. M. 2014. College students' disclosure of location-related information on Facebook. Computers in human behavior, Vol. 35(June 2014), 33--38.
[11]
Steg, L., & De Groot, J. 2010. Explaining prosocial intentions: Testing causal relationships in the norm activation model. British journal of social psychology, Vol. 49, 4 (November 2010), 725--743.
[12]
Dinev, T., Xu, H., Smith, J. H., & Hart, P. 2013. Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts. European Journal of Information Systems, Vol. 22, 3 (May 2013), 295--316.
[13]
Taylor, S., & Todd, P. A. 1995. Understanding information technology usage: A test of competing models. Information systems research, Vol.6, 2 (June 1995), 144--176.
[14]
Stern, P. C., Dietz, T., Abel, T., Guagnano, G. A., & Kalof, L. (1999). A value-belief-norm theory of support for social movements: The case of environmentalism. Human ecology review, Vol.6, 2(December 1999), 81--97.
[15]
Cho, J. 2006. The mechanism of trust and distrust formation and their relational outcomes. Journal of retailing, Vol.82, 1 (spring, 2006), 25--35.
[16]
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, Vol. 18, 1 (February 1981), 39--50.
[17]
Hair, J. F., Ringle, C. M., & Sarstedt, M. 2011. PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, Vol.19, 2 (April 2011), 139--152.
[18]
Pelet, J. É, Ettis, S., & Cowart, K. 2017. Optimal experience of flow enhanced by telepresence: Evidence from social media use. Information & Management, Vol.54, 1 (January 2017), 115--128.
Index Terms
- Research on Residents' Privacy Information Disclosure Intention in Epidemic Environments
Recommendations
Intention to disclose personal information via mobile applications
We apply the privacy calculus model to examine intention to disclose via mobile app.We test perceived benefit and risk as two paths of influence on disclose intention.Mobile users value benefits more than risks when offering personal ...
Disclosure Intention of Location-Related Information in Location-Based Social Network Services
Although location-based social network (LBSN) services have developed rapidly in recent years, the reasons why people disclose location-related information under this environment have not been adequately investigated. This study builds a privacy ...
Factors Affecting Privacy Disclosure on Social Network Sites: An Integrated Model
MINES '10: Proceedings of the 2010 International Conference on Multimedia Information Networking and SecurityUsers’ privacy disclosure behaviors on social network sites (SNSs) have great effects on sound development of websites and harmonious internet. For stealing and abusing privacy information on web enhance people’s privacy concern, users refuse to submit ...
Comments
Information & Contributors
Information
Published In
June 2021
123 pages
ISBN:9781450376846
DOI:10.1145/3477282
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 December 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- National Natural Science Foundation of China award number(s)
Conference
ICSLT 2021
ICSLT 2021: 2021 7th International Conference on e-Society, e-Learning and e-Technologies
June 10 - 12, 2021
Portsmouth, United Kingdom
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 40Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)1
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in