文章摘要
王娜,杨宇婷,张灿灿,臧国全.运动健康类App用户隐私政策规避行为形成机理研究[J].数字图书馆论坛,2023,19(12):1~10
运动健康类App用户隐私政策规避行为形成机理研究
Formation Mechanism of Privacy Policy Avoidance Behavior of Sports and Health App Users
投稿时间:2023-10-07  
DOI:10.3772/j.issn.1673-2286.2023.12.001
中文关键词: 隐私政策;信息规避;信息行为;形成机理;扎根理论
英文关键词: Privacy Policy; Information Avoidance; Information Behavior; Formation Mechanism; Grounded Theory
基金项目:本研究得到国家社会科学基金重大项目“政府数据的隐私风险计量与保护机制创新研究”(编号:21&ZD338)资助。
作者单位
王娜 郑州大学信息管理学院;郑州市数据科学研究中心 
杨宇婷 郑州大学信息管理学院 
张灿灿 郑州大学信息管理学院 
臧国全 郑州大学信息管理学院;郑州市数据科学研究中心 
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中文摘要:
      探索运动健康类App用户隐私政策规避行为的形成机理,引导用户减少隐私政策规避行为,提高用户隐私保护意识。采用关键事件技术和攀梯访谈法,对有过隐私政策规避经历的用户进行半结构化访谈,借助Nvivo 11软件对访谈数据进行三级编码,构建运动健康类App用户隐私政策规避行为形成机理模型。研究表明:隐私政策认知、监管环境认知、平台认知通过心理特征、隐私风险感知的中介作用间接影响隐私政策规避意图的产生,且个人特质在3种认知对心理特征的影响中起调节作用;任务驱动在规避意图发展为规避行为的过程中起调节作用,隐私泄露事件、平台干预在完全规避行为转变为部分规避行为的过程中起调节作用。隐私政策规避行为的形成过程因政策信息的特殊性呈现出新的特征,研究发现可拓展信息行为的研究领域,并为优化App隐私政策服务提供参考建议。
英文摘要:
      This paper aims to explore the formation mechanism of privacy policy avoidance behavior of sports and health App users, guide users to reduce privacy policy avoidance behavior, and improve users’ awareness of privacy protection. We adopt the key event method and ladder-climbing interview method to conduct semi-structured interviews with users who have experienced privacy policy avoidance, and code the interview data at three levels to construct a model of trigger mechanism for privacy policy avoidance behavior of sports and health App users with the help of Nvivo 11 software. The study suggests that privacy policy perceptions, regulatory environment perceptions, and platform perceptions indirectly influence the emergence of privacy policy avoidance intentions through the mediating role of psychological traits and privacy risk perceptions, and personal traits moderate the effects of the three perceptions on psychological traits. Task-driven factor moderates the development of avoidance intentions into avoidance behavior, and privacy breach incidents and platform interventions moderate the transformation of complete avoidance behavior into partial avoidance behavior. The formation of privacy policy avoidance behavior presents new characteristics due to the particularity of policy information. The results expand the research field of information behavior and provide reference suggestions for optimizing the privacy policy service of Apps.
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