摘要
探究个人信息回避行为的驱动因素既能为社会深入理解个人信息回避行为提供一定理论支持,也能为优化互联网+环境下个人信息回避行为提供一定的参考。文章采用质性研究方法,借助NVivo 11软件,分析Web of ScienceTM核心合集数据库中相关文献,结合风险与效用理论,对个人信息回避行为的驱动因素进行梳理。研究发现,负面情绪是个人信息回避行为的最主要驱动因素,认知冲突、行为成本和损失厌恶是主要驱动因素,维持乐观是次要驱动因素,信息疲劳和信息主观规范是一般驱动因素。据此得出相应启示。
Exploring the motives of personal information avoidance cannot only provide some theoretical support for the social deep understanding of personal information avoidance behavior,but also provide some reference for optimizing the behavior of personal information avoidance in Internet+environment.By using NVivo 11 software,the paper analyzed the relevant literatures in the web of ScienceTM core collection database,and combined the theory of risk and utility to study the traceability of personal information avoidance behavior.It found that negative emotions were the most important factors of personal information avoidance behavior.Cognitive dissonance,behavior cost and loss aversion were the main motivating factors.Optimism maintenance was the secondary motive factor.Information fatigue and information subjective norms were the general motivational factor.And it drew the corresponding inspiration of personal information avoidance behavior.
作者
王文韬
张帅
李晶
谢阳群
Wang Wentao;Zhang Shuai;Li Jin;Xie Yangqun(School of Management,Anhui University,Hefei 230601,China;Huaibei Normal University,Huaibei 235000,China)
出处
《现代情报》
CSSCI
2018年第4期29-34,共6页
Journal of Modern Information
基金
安徽省哲学社会科学规划项目"电子健康信息服务用户信任机制
作用模型及优化对策研究"(项目编号:AHSKY2017D16)
安徽省高校人文科学研究重点项目"‘互联网+’环境下电子健康用户信任转化机制及优化对策研究"(项目编号:SK2017A0008)
国家自然科学基金"差错文化
归因倾向和差错报告:作用机制和情境因素"(项目编号:71273109)
关键词
信息回避
信息行为
质性研究
动机
information avoidance
information behavior
qualitative research
motivations
