Wang Wenjun, Wu Qikai, Li Dongqi, Tian Xinluan
School of History and Culture, Henan University, 475001, Kaifeng, China.
School of Marxism, Sichuan University, 610207, Chengdu, China.
Sci Rep. 2025 Jan 2;15(1):427. doi: 10.1038/s41598-024-84646-z.
Privacy fatigue caused by privacy data disclose and the complexity of privacy control has become an important factor influencing people's privacy decision-making behavior. At present, academia mainly studies privacy fatigue as a key determinant to explain the privacy paradox problem, but there is insufficient attention to its influencing factors and specific pathway of occurrence. Exploring the antecedents of privacy fatigue is of great significance for alleviating users' subjective privacy detachment and promoting privacy protection. Based on the Stressor-Strain-Outcome (SSO) theoretical framework, this study aims to explore the antecedents of privacy fatigue through the qualitative comparative analysis method of fuzzy set (fsQCA). The results show that there are three patterns of pathways which lead to privacy fatigue, namely the rational pattern, emotional pattern, and strain pattern. This study not only provides theoretical reference for understanding the antecedents of privacy fatigue among users but also offers new practical solutions for user privacy management.
隐私数据披露和隐私控制的复杂性所导致的隐私疲劳已成为影响人们隐私决策行为的重要因素。目前,学术界主要将隐私疲劳作为解释隐私悖论问题的关键决定因素进行研究,但对其影响因素和具体发生途径关注不足。探索隐私疲劳的前因对于缓解用户的主观隐私疏离感和促进隐私保护具有重要意义。基于压力源-应变-结果(SSO)理论框架,本研究旨在通过模糊集定性比较分析方法(fsQCA)探索隐私疲劳的前因。结果表明,导致隐私疲劳的途径有三种模式,即理性模式、情感模式和应变模式。本研究不仅为理解用户隐私疲劳的前因提供了理论参考,也为用户隐私管理提供了新的实践解决方案。