政府开放数据网站用户隐私政策阅读意愿研究

——基于SEM-fsQCA的混合研究

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关键词：政府开放数据;隐私政策;隐私计算理论;UTAUT2;结构方程模型;模糊集定性比较分析法中图分类号：D035 文献标识码：A DOI：10.11968/tsyqb.1003-6938.2025052

Research on Users‘Intention to Read Privacy Policies of Government Open Data Websites

AHybridStudyBasedonSEM-fsQCA

Abstract Explores the factors influencing users‘wilingness to read privacy policies on government open data platforms， analyzes the multi-factorconfiguration pathways，and uncovers the underlying mechanisms of users'wilingness to engagewith privacy policies.The findings aim to provide theoretical support and practical guidance for enhancing users' privacy awareness and optimizing privacy policy design.Based on the extended privacy calculus theory and the UTAUT2 model，this study firstcollcted data through surveys and used structural equation modeling （SEM）to analyze the directeffectsoffactors such as privacyconcerns，privacy protection intentions，performance expectancy，andsocial influence on userswillingness to read privacy policies.Then，fuzzyset qualitativecomparative analysis （fsQCA）was applied to dentify multi-factorconfiguration pathways and reveal the multiple driving logics behind users‘privacy policy reading intentions.The studyfound that thekey factors influencing users'wilingness toread privacy policies include privacyconcerns，prvacyprotectionintentions，performanceexpectancyefortexpectancyedonicmotivation，faciliating conditios，andhabits.Trustandsocial influence were foundtohaveinsignificanteffects.Three mainconfigurationpathways were ultimately identified： privacy-sensitivity，social rust，and convenience-dependence.Based on these findings， recommendations were made to simplify the language of privacy policies，improve the user interface design of privacy policies，and enhance users' trust in privacy protection.

Key words government open data; privacy policy; privacy calculus theory; UTAUT2; SEM; fsQCA

作为国家战略性资源，众多具有关键性、基础性特征的公共数据掌握在各级政府手中[，已成为科学研究和创新的核心资源[2]。（剩余17694字）