Research on Enterprises’ Response to Emergencies Based on Machine Learning

The outbreak of the Corona Virus Disease 2019 quickly became an international and domestic public health emergency in the spotlight. Under the impact of the epidemic, private companies, especially offline businesses, have been hit hard. Therefore, private enterprises today need to pay more attention to enhancing "organizational resilience" and improving their resilience in the face of disruptions and disruptions caused by major emergencies. In this study, three machine learning methods are compared with traditional linear regression models to analyze the impact of organizational resilience on the response of small and medium-sized private enterprises to the epidemic. The same interview-based policy recommendations to boost the organizational resilience of small and medium-sized private enterprises in three northeastern provinces are proposed. The results of this survey show that the degree of influence of resilience commitment is the greatest among the main factors affecting the resilience of enterprises. According to the policy demands of enterprises, the government should help enterprises with difficulties in the epidemic by giving financial policy support, providing cost subsidies, and improving the national emergency management system.