Good-Enough Privacy in Platform Governance Evidence from Fujian and Busan–Gyeongnam
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AI-enabled tourism platform services across East Asia often generate privacy concern while continuing to attract user participation. Rather than treating this pattern as a simple contradiction, this study interprets it as privacy satisficing, in which users remain willing to participate once platform conditions are perceived as sufficiently acceptable. Using a symmetric adult survey from Fujian, China (N = 185) and Busan–Gyeongnam, Korea (N = 187), the study examines how privacy concern and accountability visibility are associated with willingness to use AI-enabled tourism platform services. Diagnostic heat maps and bootstrap checks show generally high willingness to use (typically 0.70 or higher) across most conditions, with stronger accountability sensitivity in Busan–Gyeongnam and more stable participation in Fujian. The findings suggest that continued participation is shaped not only by privacy concern itself but also by perceived accountability visibility and operational reliability.
Fields of Study & Subjects
Privacy
Security
and Data Protection
Technology Adoption and User Behaviour
COVID-19 Digital Contact Tracing
Publication details
- Journal / source
- Preprints.org
- Publication date
- 16 March 2026
- Language
- EN
- Document type
- Preprint