信息资源管理学报 ›› 2026, Vol. 16 ›› Issue (1): 89-100.doi: 10.13365/j.jirm.2026.01.089

• 研究论文 • 上一篇    下一篇

基于CAC范式的突发公共卫生事件个体保护行为影响因素研究

王晓1 林中惠1 王玉阳2 陈思菁3 段尧清1   

  1. 1.华中师范大学信息管理学院,武汉,430079; 
    2 湖北省数字产业发展集团有限公司,武汉,430060; 
    3.华中师范大学人工智能教育学部,武汉,430079
  • 出版日期:2026-01-26 发布日期:2026-03-23
  • 作者简介:王晓,博士,副教授,研究方向为突发事件风险治理、用户信息行为;林中惠,硕士研究生,研究方向为突发事件风险治理、用户信息行为;王玉阳,硕士,高级工程师,研究方向为智慧城市、数字政府;陈思菁(通讯作者),博士,副教授,研究方向为数据挖掘、社会计算等,Email:csj16912@ccnu.edu.cn;段尧清,博士,教授,研究方向为政务大数据与公共服务、管理创新。
  • 基金资助:
    本文系国家自然科学基金青年项目“ 基于细粒度认知特征挖掘的在线学习交互关系演化规律研究”(62207016)的研究成果之一。

Research on Influencing Factors of Individual Protective Behavior in Public Health Emergencies Based on CAC Paradigm

Wang Xiao1 Lin Zhonghui1 Wang Yuyang2 Chen Sijing3 Duan Yaoqing1   

  1. 1.School of Information Management, Central China Normal University, Wuhan, China, 430079; 
    2.Hubei Digital Industry Development Group, Wuhan, China, 430060; 
    3.Faculty of Artificial Intelligence Education, Central China Normal University, Wuhan, China, 430079
  • Online:2026-01-26 Published:2026-03-23
  • About author:Wang Xiao, Ph.D, associate professor, research interests including emergency risk governance and user information behavior; Lin Zhonghui, master candidate, research interests including emergency risk governance and user information behavior; Wang Yuyang, master, senior engineer, research interests including smart city and digital government; Chen Sijing(corresponding author), Ph.D, associate professor, research interests including data mining and social computing, Email: csj16912@ccnu.edu.cn; Duan Yaoqing, Ph.D, professor, research interests including government big data and public services, management innovation.
  • Supported by:
    This work is supported by the National Natural Science Foundation of China Youth Program, project titled "The Evolution Rule Study of Interaction Relationship in Online Learning Based on the Mining of Fine-Grained Cognitive Features"(62207016).

摘要: 基于“认知-情感-意动(CAC)”范式构建突发公共卫生事件个体保护行为影响因素模型,通过网络调查收集379份问卷,采用偏最小二乘结构方程模型(PLS-SEM)进行实证分析,探究突发公共卫生事件风险感知、负面情感、信息搜寻行为与个体保护行为之间的影响作用机制。研究结果显示,风险感知的严重性和不可控性对恐惧、焦虑均具有显著的正向影响,焦虑对个体保护行为具有显著的正向影响,同时风险感知的严重性和不可控性通过焦虑间接影响个体保护行为,且信息搜寻行为对上述中介作用具有显著的调节作用。本研究从认知、情感、行为意动的关联路径视角为突发公共卫生事件个体保护行为研究建立了分析框架,有利于优化突发事件风险沟通机制、增强风险治理举措实施效能。

关键词: CAC范式, 突发公共卫生事件, 个体保护行为, 风险感知, 负面情感, 信息搜寻行为

Abstract: Based on the Cognition-Affect-Conation (CAC) paradigm, we constructed a model of the influencing factors of individual protective behaviors in public health emergencies. 379 questionnaires were collected through an online survey, and the Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for empirical analysis to investigate the mechanisms of risk perception, negative emotions, information seeking behaviors, and individual protective behaviors in public health emergencies. The results show that the perceived severity and uncontrollability of risk have a significant positive effect on fear and anxiety, and anxiety has a significant positive effect on individual protective behaviors. Meanwhile, the perceived severity and uncontrollability of risk indirectly affect individual protective behaviors through anxiety. Information seeking behaviors have a significant moderating effect on the mediating effects. This study establishes an analytical framework for the study of individual protective behaviors in public health emergencies from the perspective of the correlation paths of cognition, emotion, and conation, which is conducive to optimizing the risk communication mechanism for emergencies and enhancing the implementation effectiveness of risk governance measures.

Key words: CAC paradigm, Public health emergency, Individual protective behavior, Risk perception, Negative emotion, Information seeking behavior

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