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As a new risk control theory, supply chain security has attracted the attention of an increasing number of enterprises. Its core is supply chain management, including supplier selection, partnership design, logistics services, and other links. To a large extent, it determines the distribution of interests among the main bodies in the supply chain and ultimately affects the overall performance of the entire supply chain, which may bring greater resource waste and economic losses (Hu et al., 2021). Only by establishing an efficient and stable supply chain can the production and operation activities be performed smoothly and orderly. Therefore, enterprises must strengthen the construction and improvement of their own supply chain system (Li & Zhang, 2021). A complete, reasonable, and effective supply chain system is the key to ensure that enterprises can obtain competitive advantages, enhance comprehensive competitiveness, and promote the healthy and steady development of the industry (He, 2021).
Supply chain resources and economic security are important guarantees for the development of modern enterprises, which many scholars have studied. Vlasov et al. (2020) established a mathematical model for the supply chain planning of business and economic security to evaluate the feasibility of production and determine the best value of capital, thereby increasing the profitability of enterprises. This model systematically improves the traditional risk decision-making theory and solves the problem of insufficient investment caused by limited resources, to a certain extent. Markina (2018) integrated the three concepts of social security, financial security, and food supply chain and proposed a multiobjective fuzzy comprehensive evaluation model based on system dynamics. According to the quantitative assessment of enterprise environmental risk based on economic behavior, Markina determined the importance of each indicator in different industries. This approach can preliminarily solve the financing problem of small and medium-sized enterprises and provide more accurate decision-making information for decision-makers, thereby promoting enterprises to improve their financial management. Kolesnikov (2020) studied the relationship between supply chain and enterprises from the perspective of agricultural exports. Through the analysis of the factors that affect the stability and efficiency of the supply chain in the production process of agricultural products, Kolesnikov constructed the supply chain collaborative operation model based on the network effect to optimize the resource allocation under the environment of asymmetric information. Martin et al.(2021) defined the trust system as a key tool for supply chain security assessment. In the supply chain environment, they established a security risk evaluation system based on trust mechanism and model, which can conduct the overall analysis and measurement of the entire supply chain. Bechtsis et al. (2022) proposed a framework containing challenges, gaps in literature and practice, and opportunities in supply chain management research. This framework emphasizes the demand for data-driven digital technology and realizes data collection and management, secure storage, and effective data processing. The model can also achieve supply chain security, cost competitive resilience, and terminal-to-terminal business sustainability. On the basis of the supply chain management and financial solutions of industrial enterprises participating in network architecture holding, Ryabchuk (2020) improved the efficiency of supply chain management and reduced operating costs through digital transformation. Supply chain security management is one of the most basic contents of supply chain strategy formulation, risk management, and control, which is also the key to ensure sustainable and healthy supply chain operation, meet customer requirements, and safeguard their own interests.