Supply Chain Risk Diffusion Model Considering Multi-Factor Influences under Hypernetwork Vision

Considering the problem of risk diffusion in increasingly complex supply chain networks, we propose using model, under hypernetwork vision, to study influence certain factors on diffusion, including herd mentality, self-vigilance, talent recruitment, and enterprise management. First all, state transition probability tree is constructed represent each enterprise, then Microscopic Markov Chain Approach (MMCA) used analyze scale spread, threshold discussed. We find that management will effectively curb spread risks. Directly recruiting talents strengthening more effective than increasing vigilance. This helps professionals understand mechanism it provides suggestions how suppress real world.