Abstract: With the rapid development of China’s coal industry, the safety production situation faced by coal mining enterprises is becoming increasingly severe. Frequent coal mine accidents not only have a serious impact on the production and operation of enterprises, but also pose a great threat to the life safety of miners. How to improve the safety production and emergency response capacity of coal mining enterprises has become a major and urgent problem to be solved. The “14th Five-Year Plan” for the National Emergency System has comprehensively deployed the work of safety production, disaster prevention, mitigation and relief during the “14th Five-Year Plan” period, and proposed to strengthen the safety emergency industry, enhance the application of digital intelligent technology in dealing with disaster accidents, and comprehensively improve the monitoring, early warning and emergency response capabilities. At the same time, our country has issued a series of policies to continuously promote the intelligent construction of coal mines, in order to effectively improve the safety production of the coal industry. It can be seen that the safety emergency digital intelligent transformation has become an important development direction for the safety production of coal mining enterprises. Therefore, in order to ensure the orderly development of the safety emergency digital intelligent transformation work of coal mining enterprises, it is necessary to identify the key factors of the transformation and analyze the paths of their interactions.
To explore the influencing factors of the safety emergency digital intelligent transformation of coal mining enterprises, this paper collects and organizes textual data from various information channels, including media reports, relevant literature, transformation white papers, etc., and obtains 417 original and valid sentences, about 23,000 words. To ensure the reliability and validity of the coding results, this paper uses the qualitative analysis software Nvivo12 Plus to analyze the textual data, and two researchers independently code the data, constantly compare and check them during the coding process, and invite relevant scholars in the field to correct the coding results. Finally, a factor system of the safety emergency digital intelligent transformation of coal mining enterprises, which includes four dimensions and 17 factors, namely, the construction of safety emergency transformation organization, safety emergency transformation needs driven by multidirectional forces, improvement of safety production capacity and innovation development, and collaborative guarantee mechanisms for safety emergency transformation, is constructed.
Based on the factor system of the safety emergency digital intelligent transformation of coal mining enterprises, this paper constructs a key factor identification and action path analysis model based on Fuzzy-DEMATEL-AISM, and conducts an empirical study based on this model. The main conclusions are as follows: (1)Using the Fuzzy-DEMATEL method to analyze the influencing factors of the safety emergency digital intelligent transformation of coal mining enterprises, we find that there are 9 cause factors and 8 result factors among the 17 influencing factors. The key cause factors are government-driven supervision, enterprise’s own objective conditions, and safety emergency development trend requirements, ranked by the degree of causality. The key result factors are the creation of a cultural atmosphere for safety emergency transformation, the application of digital intelligent safety infrastructure, and the optimization of the safety management system under the transformation background. According to the centrality value ranking, key influencing factors are digital intelligent technology introduction and research and development, digital intelligent technology and safety emergency management integration, digital intelligent safety infrastructure application, safety emergency transformation input intensity, and safety emergency information integration and application. At the same time, considering the important influence of the factor government-driven supervision, this paper also classifies this factor as a key influencing factor. (2)Using the AISM method to analyze the hierarchical structure and action paths of the factors, we find that 17 factors are divided into four levels, of which there are three deep-rooted factors, three shallow-rooted factors, seven transitional factors, and four surface factors. This reveals 12 transmission paths from the key cause factors to the key result factors through the transitional factors, of which there are five dominant transmission paths with the key influencing factors as the intermediary transitional factors.

Key words: coal mining enterprise, safety emergency, digital intelligent transformation, influencing factor, action path

摘要： 安全应急数智化转型是维持煤矿企业安全运行的关键,也是推动煤矿企业高质量发展的有效手段。为提升煤矿企业安全应急数智化转型成效,本文运用扎根理论剖析相关文本材料,建立了包含安全应急转型组织机构建设、多方位驱动下安全应急转型需求、安全生产能力提升与创新发展、安全应急转型协同保障机制4个维度、17个因素的煤矿企业安全应急数智化转型因素体系。构建基于Fuzzy-DEMATEL-AISM方法的分析模型,并基于此模型进行实证研究,结果表明,17个影响因素中存在9个原因因素、8个结果因素,共被划分为4个层级,其中数智技术引进及研发、数智技术与安全应急管理融合、数智化安全基础设施应用、安全应急转型投入力度、安全应急信息集成及应用、政府驱动监管是影响煤矿企业安全应急数智化转型的关键因素;揭示了由关键原因因素借助过渡因素影响关键结果因素的传递路径共12条,其中存在5条由关键影响因素作为中介因素的主导传递路径;最后,针对政府部门、煤矿企业两个主体给出提升转型效率的对策。

关键词: 煤矿企业, 安全应急, 数智化转型, 影响因素, 作用路径