基于4R危机管理理论的政府网络舆情危机应对手段研究

发布时间：2018-03-12 17:05

本文选题：R危机管理理论　切入点：政府　出处：《现代情报》2017年09期 　论文类型：期刊论文

【摘要】：[目的 /意义]基于4R危机管理理论,从缩减、预备、反应和恢复四个阶段对政府网络舆情危机管理的方法手段进行认真的分析和概括。同时,分析了影响政府网络舆情危机应对手段有效性的情景要素,为政府处置网络舆情危机提供有益的参考。[方法 /过程]在梳理国内外政府网络舆情危机管理相关研究成果之上,基于4R理论设计了通用政府网络舆情危机场景下的应对手段。以丽江政府网络舆情危机事件为例,探讨危机应对手段的具体情景应用。[结果 /结论 ]4R危机管理理论是一种重要的理论工具,因其在价值取向、行动目标和周期划分上与政府处置政府网络舆情危机有高度契合,因此将其应用于政府网络舆情危机管理具有适用性。危机的概率、种类、强度是影响政府网络舆情危机应对手段有效性的要素,因此危机应对手段的选用要依据具体的危机情景而定。
[Abstract]:[objective / significance] based on the 4R crisis management theory, the methods and means of crisis management of government network public opinion are carefully analyzed and summarized from four stages: reduction, preparation, response and recovery. At the same time, This paper analyzes the situation factors that affect the effectiveness of the government network public opinion crisis, and provides a useful reference for the government to deal with the network public opinion crisis. [method / process] on the basis of combing the related research results of the domestic and foreign government network public opinion crisis management, Based on the 4R theory, this paper designs the response measures under the situation of general government network public opinion crisis, taking Lijiang government network public opinion crisis as an example, [results / conclusions] 4R crisis management theory is an important theoretical tool because of its value orientation, The division of action target and cycle has a high agreement with the government in dealing with the crisis of government network public opinion, so it is applicable to the crisis management of government network public opinion. The intensity is the factor that affects the effectiveness of the crisis response means of the government network public opinion, so the choice of the crisis response means should be based on the specific crisis situation.
【作者单位】：河南理工大学应急管理学院;
【基金】：教育部人文社会科学基金规划项目“网络媒体对城市社区居民公共参与影响的机制及反馈效应研究”(项目编号:17YJAZH124) 河南省高校科技创新人才支持计划项目“互联网时代高校大学生政治信任的实证测评与强化提升研究”(项目编号:2016-cx-016) 河南省教育厅人文社科重点项目“虚拟社会中网民政治信任流失机理及其康复机制研究”(项目编号:2016-zd-014)
【分类号】：D63;G206

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