信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (4): 59-69.doi: 10.13365/j.jirm.2024.04.059

• 研究论文 • 上一篇    下一篇

数智时代的个人信息保护失范行为:AIGC赋能的扎根理论分析

赵海平1 刘志鑫2 孙彦超1 江娜3   

  1. 1.中国石油大学(华东)经济管理学院,青岛,266580
    2.对外经济贸易大学信息学院,北京,100029
    3. 北京师范大学-香港浸会大学联合国际学院工商管理学院,珠海,519087
  • 出版日期:2024-07-26 发布日期:2024-08-14
  • 作者简介:赵海平,博士,讲师,研究方向为用户行为、数据治理;刘志鑫,硕士研究生,研究方向为不确定环境下决策优化;孙彦超,硕士研究生,研究方向为数据治理;江娜(通讯作者),助理教授,研究方向为在线信息隐私、消费者行为,Email: najiang@uic.edu.cn。
  • 基金资助:
    本文系山东省社会科学规划研究项目“数字强省背景下企业信息泄露风险评估与防范策略研究”(22DTQJ05)的成果之一。

Personal Information Protection Misconducts in the Era of Digital Intelligence: An AIGC-Assisted Grounded Theory Analysis

Zhao Haiping1 Liu Zhixin2 Sun Yanchao1 Jiang Na3   

  1. 1. School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580
    2. School of Information Technology & Management, University of International Business and Economics, Beijing, 100029
    3. Faculty of Business and Management, BNU-HKBU United International College, Zhu Hai, 519087
  • Online:2024-07-26 Published:2024-08-14
  • About author:Zhao Haiping, Ph.D., lecturer, research interests: user behavior and data governance; Liu Zhixin, M.S. candidate, research interest: decision optimization under uncertain environment; Sun Yanchao, M.S. candidate, research interest: data governance; Jiang Na(corresponding author), assistant professor, research interests: online information privacy and consumer behavior, Email: najiang@uic.edu. cn.
  • Supported by:
    This work was supported by Shandong Social Science Planning Research Program "Research on Enterprise Information Leakage Risk Assessment and Prevention Strategy in the Context of Digital Province"(22DTQJ05).

摘要: 数智时代个人信息被广泛收集和深度利用的背景下,识别个人信息保护失范行为对于推进个人隐私及信息安全保障具有重要意义。本研究基于当前个人信息保护相关法律法规,采用AIGC辅助的扎根理论分析方法,对2100个违法案例进行定性分析,识别个人信息处理活动中常见的信息保护失范行为,并对其进行系统梳理和分类,最终确定了11大类、55小类个人信息保护失范行为,并分析了数智时代个人信息保护的重点问题。本研究不仅能够为个人信息保护相关研究提供可遵循的理论框架,还可为政府职能部门等各类组织提供决策支持。

关键词: 个人信息保护, 失范行为, AIGC, 扎根理论, 隐私合规, 信息安全

Abstract: The extensive collection and deep utilization of personal information in the era of data intelligence highlight the significance of identifying misconducts in personal information protection. This study, guided by the current personal information protection laws and regulations, qualitatively analyzed 2100 cases of violations of laws. It aimed to identify common prevailing misconducts in safeguarding personal information during data processing activities. AIGC technology was introduced in the analytical process of Grounded Theory to categorize the identified misconducts. As a result, we identified eleven major categories and fifty-five subcategories of personal information protection conducts. We then particularly discussed key issues in personal information protection in the age of data intelligence. The findings of this study can not only offer a theoretical framework for future research in the field of personal information protection but also provide decision support for various organizations and government regulatory authorities.

Key words: Personal information protection, Misconducts, AIGC, Grounded theory, Privacy compliance, Information security

中图分类号: