图书情报工作

图书情报工作 >

2023 , Vol. 67 >Issue 11: 12 - 24

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.11.002

理论研究

用户参与政府开放数据隐私风险治理行为的影响因素分析

  • 袁静 ,
  • 张翼翔 ,
  • 臧国全
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  • 1 郑州大学信息管理学院 郑州 450001;
    2 郑州市数据科学研究中心 郑州 450001

收稿日期: 2022-12-07

  修回日期: 2023-02-02

  网络出版日期: 2023-06-19

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Analysis of Factors Influencing Users’ Participation in Privacy Risk Governance of Open Government Data

  • Yuan Jing ,
  • Zhang Yixiang ,
  • Zang Guoquan
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  • 1 School of Information Management, Zhengzhou University, Zhengzhou 450001;
    2 Zhengzhou Data Science Research Center, Zhengzhou 450001

Received date: 2022-12-07

  Revised date: 2023-02-02

  Online published: 2023-06-19

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摘要

[目的/意义]探讨影响用户参与政府开放数据隐私风险治理的因素，吸引用户参与协同共治，有助于提升隐私风险治理效果，推进政府数据的有效利用和价值实现。[方法/过程]从感知价值理论和信任理论的视角，分析用户行为影响因素并构建研究模型，基于问卷调查数据开展实证研究，识别影响用户参与的主要因素，提出促进用户参与的建议。[结果/结论]平台性能、服务功能、感知成本、平台信任、开放数据信任、政府人员信任是影响用户参与政府开放数据隐私风险治理行为的主要因素，社会认同和社会收益对用户参与意愿没有直接影响，但通过态度的中介作用间接影响用户参与意愿，最后从提高平台性能与服务水平、加强宣传、强化政府服务效能和平台安全防护等方面提出建议。

本文引用格式

袁静 , 张翼翔 , 臧国全 . 用户参与政府开放数据隐私风险治理行为的影响因素分析[J]. 图书情报工作, 2023 , 67(11) : 12 -24 . DOI: 10.13266/j.issn.0252-3116.2023.11.002

Abstract

[Purpose/Significance] The article discusses the factors influencing users’ participation in privacy risk governance of open government data, thus to improve the privacy risk governance effect and promote the effective utilization and value realization of government data by attracting users’ participation in co-governance. [Method/Process] From the perspective of perceived value theory and trust theory, the article analyzed the influencing factors of user behaviors and designed the research model, conducted an empirical study based on questionnaire data, identified the main factors influencing users’ participation and put forward suggestions to promote user participation. [Result/Conclusion] Platform performance, service function, perceived cost, platform trust, open data trust, and government personnel trust are the main factors affecting users’ participation in privacy risk governance of open government data. Social identification and social benefit have indirect impact on users’ participation through user attitude. Finally, the article puts forward suggestions from the perspective of improving platform quality and service level, increasing publicity, and strengthening government service efficiency and platform security protection.

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