Good-Enough Privacy in Platform Governance Evidence from Fujian and Busan–Gyeongnam

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Authors: Han Su, Gilja So, Shihui Chen
Cited by: 0
References: 20

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Abstract

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