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虚拟社区中有关突发事件的知识共享是应急管理决策信息的重要来源。论文基于社会认知和社会资本理论,面向突发事件特征,采用问卷调查的实证方式运用两阶段验证性因子分析方法构建了面向突发事件的知识共享影响因素结构方程模型。经过AMOS数据分析和信度效度检验证明模型与数据的适配度良好。研究结果表明,突发事件的周期性,类型,社区回报期望等因素对于虚拟社区中突发事件知识共享行为的质量和数量均起到显著的正向推动作用,同时首次研究了知识共享质量和数量间的反向影响作用。最后结合这一研究结果给出了本研究的实践价值。
Knowledge sharing about emergencies in the virtual community is an important source of emergency management decision information. Based on the theories of social cognition and social capital, this dissertation applies the two-stage confirmatory factor analysis method to construct the structure-equation model of knowledge-sharing influencing factors for emergent events. After AMOS data analysis and reliability validity test, the model and data fit well. The results show that the factors such as the periodicity, type and expectation of community return play a significant positive role in promoting the quality and quantity of emergency knowledge sharing behaviors in virtual communities. At the same time, The reverse effect between quantities. Finally, combining the results of this study gives the practical value of this study.