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在线健康社区知识转移粘滞:从隐私计算视角分析
引用本文:王文韬,温佳怡,张震,杨敏,刘咏梅,谢阳群.在线健康社区知识转移粘滞:从隐私计算视角分析[J].情报理论与实践,2020,43(2):121-128.
作者姓名:王文韬  温佳怡  张震  杨敏  刘咏梅  谢阳群
作者单位:安徽大学管理学院,安徽 合肥230601;淮北师范大学,安徽 淮北 235000;合肥师范学院,安徽合肥230009
基金项目:国家社会科学基金项目“融合SOR理论的网络健康信息搜寻行为与优化策略研究”的成果之一,项目编号:19CTQ024
摘    要:目的/意义]旨在探析隐私计算视角下在线健康社区知识转移粘滞影响因素,构建理论模型,为完善在线健康社区健康信息隐私安全保护机制、交互性服务建设与运营管理提出建议。方法/过程]采用质性研究方法,借助软件NVivo12对访谈资料进行内容分析与编码,归纳影响在线健康社区知识转移粘滞的4个主要因素以及14个子因素,并构建在线健康社区知识转移粘滞影响因素模型。结果/结论]感知风险、社会收益、情感收益和主观规范对在线健康社区知识转移粘滞都有不同程度的影响。据此,总结相关启示。

关 键 词:在线健康社区  隐私计算  隐私保护  知识转移粘滞  质性分析

Online Health Communities Knowledge Transfer Stickiness:Analysis of Privacy Calculus Theory Fused
Abstract:Purpose/significance]This paper aims to analyze the influencing factors of knowledge transfer stickiness in online health communities from the perspective of privacy computing,and construct theoretical models to provide suggestions for improving the privacy protection mechanism of health information,interactive service construction and operation management of online health communities.Method/process]Using qualitative research methods,the software NVivo12 is used to encode and analyze the interview data.Then 4 main influencing factors and 14 sub-categories of knowledge transfer stickiness in the online health communities is summarized,and an influence factor model of knowledge transfer stickiness in online health community based on the theory of privacy calculation is constructed.Result/conclusion]Perceived risk,social benefits,emotional benefits,and subjective norms have varying degrees of impact on knowledge transfer stickiness in online health communities.Based on this,summarize the relevant revelations.
Keywords:online health communities  privacy calculus  privacy protection  knowledge transfer stickiness  qualitative analysis
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