旅游
透明度(行为)
主题分析
计算机科学
认知
生成语法
知识管理
心理学
认知地图
技术接受与使用的统一理论
可验证秘密共享
客户参与度
生成模型
定性研究
营销
专题地图
仿形(计算机编程)
消费者行为
应用心理学
消费者隐私
信息隐私
数据科学
测量数据收集
互联网隐私
结构方程建模
业务
人工智能
作者
Shaofeng Wang,Hao Zhang
标识
DOI:10.1177/00472875261499734
摘要
Generative artificial intelligence now drafts travel itineraries that travelers cannot easily verify. Integrating privacy calculus theory with a dual-pathway trust model, this study examines how system attributes shape tourist trust and continued usage, and how technology readiness conditions those links. A two-wave panel (433 Chinese and European travelers), a validation wave (372), and 42 interviews were analyzed using structural equation modeling, importance–performance map analysis, fuzzy-set qualitative comparative analysis, and thematic analysis. Data transparency and content authenticity raised both cognitive and affective trust, and affective trust sustained continued usage most strongly. Technology readiness reversed the expected pattern: readier travelers scrutinized fluent output rather than relying on it, weakening the behavioral effect of trust. Providers should replace generic privacy notices with in-context, verifiable data-use disclosures and checkable citations, and segment interfaces so that ready travelers receive verification tools and less-ready travelers receive reassurance. Regulators can make verifiability, not fluency, the disclosure standard.
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