Evolutionary Game Analysis of AI-Driven Apparel Supply Chains
Xu Zhili
Ren Jun
Abstract：Based on evolutionary game theory,a two-agent game model between traditional sup-ply chain enterprises and AI technology-driven enterprises was constructed.Parameterized modeling methods were employed.The aim was to investigate the evolutionary patterns of collaborative deci-sion-making among core enterprises,a key element of digital intelligence transformation,within the AI-driven transformation of the apparel supply chain.It was found that when the cooperative benefits exceeded a specific threshold,the system transitioned from a dual non-cooperation equilibrium to a full cooperation equilibrium.Furthermore,an increase in cooperative benefits was shown to signifi-cantly lower the initial threshold for initiating cooperation.
Keywords：apparel supply chainevolutionary game theorydata sharingartificial intelligence
Publication Date：2025-10-20
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 40-44 )