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运动健康类App用户隐私政策规避行为形成机理研究

王娜 杨宇婷 张灿灿 臧国全

数字图书馆论坛2023,Vol.19Issue(12):1-10,10.
数字图书馆论坛2023,Vol.19Issue(12):1-10,10.DOI:10.3772/j.issn.1673-2286.2023.12.001

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

王娜 1杨宇婷 2张灿灿 2臧国全1

作者信息

  • 1. 郑州大学信息管理学院,郑州 450001||郑州市数据科学研究中心,郑州 450001
  • 2. 郑州大学信息管理学院,郑州 450001
  • 折叠

摘要

Abstract

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.

关键词

隐私政策/信息规避/信息行为/形成机理/扎根理论

Key words

Privacy Policy/Information Avoidance/Information Behavior/Formation Mechanism/Grounded Theory

分类

社会科学

引用本文复制引用

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):1-10,10.

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. (编号:21&ZD338)

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