图书情报工作 ›› 2021, Vol. 65 ›› Issue (18): 83-92.DOI: 10.13266/j.issn.0252-3116.2021.18.009

• 情报研究 • 上一篇    下一篇

面向社区治理的个人信息披露意愿影响因素研究——关于场景和个体属性的分析

张宇栋, 王奇, 钱静, 刘奕   

  1. 清华大学公共安全研究院 北京 100084
  • 收稿日期:2021-03-02 修回日期:2021-06-05 出版日期:2021-09-20 发布日期:2021-09-26
  • 通讯作者: 刘奕(ORCID:0000-0003-1399-7420),副研究员,博士,博士生导师,通讯作者,E-mail:liuyi@tsinghua.edu.cn
  • 作者简介:张宇栋(ORCID:0000-0003-0814-9996),助理研究员,博士后;王奇(ORCID:0000-0003-0371-3746),博士研究生;钱静(ORCID:0000-0001-9744-1096),博士研究生。
  • 基金资助:
    本文系"十三五"国家重点研发计划项目"社区风险监测与防范关键技术研究"(项目编号:2018YFC0809701)和中国博士后科学基金项目"面向后疫情时代的社区治理个人数据应用能力成熟度模型研究"(项目编号:2020M680600)研究成果之一。

Research on the Influencing Factors of Personal Information Disclosure Intention for Community Governance——Focus on the Analysis of Scenarios and Individual Attributes

Zhang Yudong, Wang Qi, Qian Jing, Liu Yi   

  1. Institute of Public Safety Research, Tsinghua University, Beijing 100084
  • Received:2021-03-02 Revised:2021-06-05 Online:2021-09-20 Published:2021-09-26

摘要: [目的/意义]在新冠疫情逐渐呈现常态化的形势下,社区治理对个人信息的采集和使用程度显著加剧,在隐私保护的基础上,如何构建更加和谐的个人信息应用场景,是基于大数据的社区治理现代化亟待解决的问题。[方法/过程]从居民视域切入,从利益倾向、安全相关度、披露程度三方面设置社区治理的场景变量,通过问卷调查分析场景对信息披露意愿的影响机理,并结合个体属性特征揭示不同特征人群呈现的信息披露意愿规律,进而讨论社区治理中个人信息应用的优化建议。[结果/结论]研究表明,受到组织公民行为因素影响,居民在利众和高安全相关度的场景下个人信息披露意愿较高;个人信息被用于社区治理的同时,引入个性化服务反馈,有助于改善信息披露意愿;社区采集个人数据时,应根据居民的个体属性分布情况因地制宜,应尽可能回应到居民关切。

关键词: 后疫情时代, 社区治理, 个人信息披露意愿, 场景, 个体属性, 组织公民行为

Abstract: [Purpose/significance] In post-pandemic era, personal information has become the core data resource for community governance. Under the premise of privacy protection, how to create a more harmonious scene of personal information applications, is an urgent question to be solved in the modernization of community governance based on big data.[Method/process] The residents' perspective was used as the entry point, the scenario variables of community governance were set from three aspects:interest tendency, security relevance and disclosure degree, and analyzed the influence mechanism of scenarios on the intention to disclose personal information through questionnaire survey, combined the characteristics of personal attributes to reveal the laws of different population, and then discussed the optimization suggestions for community governance of personal information application scenarios.[Result/conclusion] Research shows, residents are affected by OCB factors, which makes them have a higher intention to disclose personal information in the public benefit scenarios and highly security-related scenarios; while personal information is being used for community governance, adding personalized service feedback will help improve disclosure intention; the collection of personal data in the community should focus on the distribution of individual attributes of residents, and respond to residents' concerns as much as possible.

Key words: the post-pandemic era, community governance, personal information, disclosure intention, scene individual attributes, organizational citizenship behavior

中图分类号: