Privacy and Information Disclosure: Dynamic Digital Governance in Response to COVID-19

Yinghui Cai*, Xiaotao Zhang, Huayong Niu, Wei Li, Da Huo, Jianing He, Hong Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The information collection in the global governance of the digital economy is important to companies in response to COVID-19. This research studied the initiative of conflicts between privacy and information disclosure based on agency theory, analyzed the resolution of the conflicts based on incentive compatibility, and further discussed the rationale of the balance between private and public interest based on agile governance. This research suggests the necessity of finding the balance between public interest and privacy protection based on the hierarchical division of private and public interest. The dynamic psychological behavior to privacy and information disclosure by uninfected and infected citizens in response to COVID-19 is simulated by Volterra differential equations. The specification of boundaries in data use can be helpful to companies in reconciling the privacy and information disclosure for customer relationship management in digital governance in response to COVID-19.

Original languageEnglish
JournalJournal of Global Information Management
Volume31
Issue number6
DOIs
Publication statusPublished - 2023

Keywords

  • COVID-19
  • Digital Governance
  • Information Disclosure
  • Privacy
  • Volterra Differential Equations

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