事件属性、组织特征与环境压力：政府危机学习路径的组态分析

摘要/Abstract

摘要： 面对风险社会的到来，提升政府危机学习能力成为一个重要议题。本文聚焦讨论政府危机学习的驱动因素与组态路径，根据事件属性、组织因素、外部环境3个维度的5个变量对16起重特大突发事件的文本数据进行编码，通过模糊集定性比较分析条件变量对政府危机学习效果的单变量影响和组合影响。研究发现，危机双环学习无法由单一条件决定，而是多种因素组合影响的结果，发生在人口密集区、死亡人数和经济损失较高、有更好的内驱学习文化的组织更可能驱动双环学习，对于外部关注等因素需要与其他因素形成组态路径驱动双环学习的发生。基于案例分析结果，本文提出了针对性建议，以期为提升政府危机学习能力提供理论支撑。

关键词: 政府危机学习, 组态分析, 重特大突发事件

Abstract: Facing the coming of the risk society, improving the government’s crisis learning ability has become an important issue. This paper focuses on the driving factors and configuration path of government crisis learning, encodes the text data of 16 major emergencies according to five variables in three dimensions: event attributes, organizational factors and external environment, and qualitatively analyzes the univariate and combined effects of conditional variables on government crisis learning through fsQCA. It is found that crisis double-loop learning cannot be determined by a single condition, but is the result of a combination of multiple factors. Organizations that occur in densely populated areas, have higher death toll and economic loss, and have a better internal drive learning culture are more likely to drive double-loop learning. For factors such as external attention, a configuration path needs to be formed with other factors to drive the occurrence of double-loop learning. Based on the results of case analysis, this paper puts forward specific suggestions in order to provide theoretical support for improving the government’s crisis learning ability.

Key words: government crisis learning, configuration analysis, major emergencies

李宇环, 文佳媛, 于鹏. 事件属性、组织特征与环境压力：政府危机学习路径的组态分析[J]. 管理评论, 2024, 36(6): 266-276.

Li Yuhuan, Wen Jiayuan, Yu Peng. An Analysis of Government Crisis Learning Paths through Event Attributes, Organizational Characteristics and Environmental Stressors[J]. Management Review, 2024, 36(6): 266-276.

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