›› 2017, Vol. 29 ›› Issue (10): 258-272.

• 案例研究 • 上一篇    

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

侯俊东1, 肖人彬2   

  1. 1. 中国地质大学(武汉)经济管理学院, 武汉 430074;
    2. 华中科技大学自动化学院, 武汉 430074
  • 收稿日期:2015-09-30 出版日期:2017-10-28 发布日期:2017-11-01
  • 通讯作者: 肖人彬(通讯作者),华中科技大学自动化学院教授,博士生导师,博士
  • 作者简介:侯俊东,中国地质大学(武汉)经济管理学院教授,硕士生导师,博士
  • 基金资助:

    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)。

Evolution of Public Trust in Government from Online Collective Behaviors:Findings from a Multi-case Study

Hou Jundong1, Xiao Renbin2   

  1. 1. School of Economics & Management, China University of Geosciences, Wuhan 430074;
    2. School of Automation, Huazhong University of Science & Technology, Wuhan 430074
  • Received:2015-09-30 Online:2017-10-28 Published:2017-11-01

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。

关键词: 网络群体性事件, 政府公信力, 多案例研究

Abstract:

In the current era where interpersonal interaction occurs both virtually and realistically, the increasingly frequent online collective behaviors have made it difficult for the government to react in an effective manner and as a result, the government is suffering from the evolution of public trust. A question is why the evolution occurs and what drives it. This paper aims to explore the evolution process and mechanism through a multi-case study from the comprehensive perspective of incident (process)-perception (mental)-action (participant). The finding is that six core factors play a significant role in evolution of public trust in government, including trigger context, social cognition, group structure, group efficacy, response recovery and mental energy, but they act in different ways. On this basis, we build a context-perception-action model of public trust evolution mechanism in relation to online collective behaviors. The conclusions are not only helpful for the government to maintain, restore and enhance its level of public trust, but also enlightening for governmental innovation and the establishment of a crisis management system.

Key words: online collective behavior, public trust in government, multi-case study