网络群体性事件中政府公信力的演变:一个多案例的研究发现

发布时间：2018-06-21 21:46

本文选题：网络群体性事件 + 政府公信力　；参考：《管理评论》2017年10期

【摘要】：在虚实交互的现实背景下,网络群体性事件多发、频发,加大了政府的应对难度,进而诱致政府公信力水平的变化。然而,在网络群体性事件中,政府公信力为什么会变化、其内在的演进变化机理是什么等关键性问题还缺乏深度的研究。本文基于事件(过程)—感知(心理)—行动(公众)的整合框架,借助多案例分析方法,揭示网络群体性事件背景下政府公信力的变化机理。研究发现:触发情境、社会认知、群体结构、群体效能、响应恢复与心理能量6个主范畴对政府公信力变化存在显著影响,但作用方式和路径并不一致。基于此,结合政府公信力变化的动态过程,本研究探索性地构建了网络群体性事件中政府公信力的演变机理模型,即情境—感知—行为整合模型。这些研究结论可以为政府维持、重建和提升公信力提供有效的依据,并为引导政府创新和发展公共危机与应急管理理论体系提供理论基础和政策借鉴。
[Abstract]:In the realistic background of virtual reality interaction, the network group incidents are frequent and frequent, which increases the difficulty of government response and induces the change of the level of government credibility. However, in the network group events, the key issues such as why the credibility of the government changes, and what the internal evolution mechanism is, is still lack of in-depth research. Based on the integrated framework of event (process-perception (psychology) and action (public), this paper, with the help of multi-case analysis, reveals the mechanism of the change of government credibility under the background of network group events. It is found that the six main categories of trigger situation, social cognition, group structure, group efficacy, response recovery and psychological energy have significant effects on the change of government credibility, but the mode and path of action are not consistent. Based on this, combined with the dynamic process of the change of government credibility, this study explores the evolution mechanism model of government credibility in network group events, that is, situation-perception-behavior integration model. These conclusions can provide an effective basis for the government to maintain, rebuild and enhance the credibility, and provide theoretical basis and policy reference for guiding the government to innovate and develop the theoretical system of public crisis and emergency management.
【作者单位】：中国地质大学(武汉)经济管理学院;华中科技大学自动化学院;
【基金】：国家自然科学基金项目(71572185;71202050;61540032) 中央高校基本科研业务费专项资金资助项目(CUGW150402) 高等学校博士学科点专项科研基金项目(20130142110051)
【分类号】：D63

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