China Academy of Safety Science and Technology
Cathay Safety Technology Co., Ltd.
School of Economics and Management
School of Emergency Management, Henan Polytechnic University

为深入探究煤矿企业智慧应急能力建设的影响因素，首先运用验证性因子对智慧应急能力影响因素进行假设，初构理论模型；其次运用结构方程模型对影响因素开展信效度分析、拟合度评价、中介效应检验，对影响因素间的因子载荷和路径系数进行验证，并得出研究假设检验结果；进而对模型开展中介效应检验和修正判别；最后对模型结果进行分析。结果表明，监测预警能力、系统集成能力对智慧应急能力具有显著正向影响作用；信息管理能力和信息队伍能力对智慧应急能力建设有积极正向调节作用；数据处理能力对智慧应急能力提升有显著正向影响作用。

In order to deeply explore the influencing factors of intelligent emergency capacity construction in coal mine enterprises, firstly, the confirmatory factors are used to assume the influencing factors of intelligent emergency capacity, and the initial theoretical model is constructed. Secondly, the structural equation model was used to carry out reliability and validity analysis, fit evaluation and mediation effect test for the influencing factors, verify the factor load and path coefficient among the influencing factors, and carry out the research hypothesis test results. Then, the mediation effect test and correction discrimination were carried out for the model. Finally, the model results are analyzed. The results show that monitoring and warning ability and system integration ability have significant positive effects on intelligent emergency response ability. Information management ability and information team ability have positive and positive moderating effect on intelligent emergency capacity building; data processing ability has a significant positive effect on the improvement of intelligent emergency response ability.

国家重点研发计划资助项目（SQ2021YFC3000071）；国家自然科学基金重点资助项目(U1904210)；教育部产学合作协同育人资助项目（202102350019）；

1 研究假设与模型构建
1.1 信息管理能力与智慧应急能力
1.2 数据处理能力与智慧应急能力
1.3 信息队伍能力与智慧应急能力
1.4 系统集成能力的中介作用
1.5 监测预警能力的中介作用
1.6 理论模型
2 问卷调研及数据分析
2.1 问卷编制
2.2 问卷发放
3 数据分析与结果
3.1 信度(可靠性)检验
3.2 效度检验
3.3 适配度评价
3.4 研究假设检验结果
3.5 中介效应检验
3.6 模型结果分析
4 结语

LI Xiteng, QIN Hongnan, CHEN Guanda, et al. Evaluation model and application research of intelligent emergency response capability of coal mining enterprises[J]. Safety in Coal Mines, 2023, 54（11）: 233−239.