Coal mine accidents seriously affect people’s safety and social development, and intelligent mines have improved the production safety environment. However, safety management and miners’ work in intelligent mines face new changes and higher requirements, and the safety situation remains challenging. Therefore, exploring the key influencing factors of miners’ unsafe behaviors in intelligent mines is important. Our work focuses on (1) investigating the relationship and hierarchy of 20 factors, (2) using fuzzy theory to improve the decision-making trial and evaluation laboratory (DEMATEL) method and introducing the maximum mean de-entropy (MMDE) method to determine the unique threshold scientifically, and (3) developing a novel multi-criteria decision-making (MCDM) model to provide theoretical basis and methods for managers. The main conclusions are as follows: (1) the influence degree of government regulation, leadership attention, safety input level, safety system standardization, and dynamic supervision intensity exert the most significant influence on the others; (2) the causality of government regulation, which is the deep factor, is the highest, and self-efficacy displays the smallest causality, and it is the most sensitive compared to various other factors; (3) knowledge accumulation ability, man–machine compatibility, emergency management capability, and organizational safety culture has the highest centrality among the individual factors, device factors, management factors, and environmental factors, respectively. Thus, corresponding management measures are proposed to improve coal mine safety and miners’ occupational health.

The development of emerging technologies promotes the transformation and upgrading of the retail business. However, the new retail service supply chain system’s node enterprises cannot meet quality supply and demand requirements, which leads to quality risks. The quality risks cascade through the system and are amplified, and thus affect overall performance. Therefore, it is necessary to clarify the law of quality risk transmission and realize risk control. In our work, (1) an improved model for quality risk transmission in the new retail service supply chain based on the infectious disease model is developed, (2) we introduce value co-creation rate and control factors from a value co-creation perspective, (3) and solve the threshold and equilibrium point of the service chain node, and conduct a simulation to reveal the quality risk transmission law. The main conclusions are as follows: (1) there is a threshold in the risk transmission system, the larger the threshold the more beneficial it is to control the transfer of risks; (2) the value co-creation rate influences the quality risk transmission process, with the susceptible state value co-creation rate significantly influencing the proportion of immune state numbers, while the opposite is true for the infected state value co-creation rate; (3) both inhibitory and facilitative control factors influence the transmission process of quality risk in the new retail service supply chain. Thus, the value co-creation behavior and risk control measures should be adopted in time to increase the transmission threshold to effectively curb the risk transmission. It will improve the overall quality level of the supply chain so that multiple stakeholders can achieve value co-creation.