文献类型：期刊文献

英文题名：The co-evolution of information sharing behavior and motivation: A resilience perspective on complex supply chain networks

作者：Zhou, Zixiang[1];Li, Tian[1,2]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, 130 Meilong Rd, Shanghai, Peoples R China

年份：2026

卷号：208

外文期刊名：CHAOS SOLITONS & FRACTALS

收录：;EI(收录号：20261220327724);WOS:【SCI-EXPANDED(收录号:WOS:001727516800001)】；

基金：The research is supported by the National Natural Science Foundation of China [Grant No. 72571101, 72171085] .

语种：英文

外文关键词：Supply chain network; Evolutionary game on complex networks; Information sharing; Behavior and motivation; Resilience

摘要：Information sharing is widely recognized as a critical element for supply chain resilience. Understanding the heterogeneous motivations underlying firms' information-sharing behaviors from a resilience perspective is therefore of great significance. To deeply analyze the complex system dynamics arising from the co-evolution of sharing motivations and behaviors, this study develops a novel co-evolutionary framework based on evolutionary game theory on complex networks. The model captures the dynamic feedback between short-term behavioral adaptation and long-term motivational shifts. Simulation results reveal that the co-evolution of behavior and motivation exhibits inherent self-organizing properties, driving the system toward order by reducing the entropy of motivational types. Different motivational types follow distinct evolutionary trajectories, and their ultimate distribution is highly sensitive to key economic and risk parameters. Notably, network structure exerts a nonlinear influence on the process-moderately high average degree and moderately low network size are most conducive to fostering information-sharing cooperation. Furthermore, economic, risk, and constraint parameters produce differentiated and often asymmetric effects on system evolution. These insights contribute to guiding firms' information-sharing practices and designing effective interventions to promote high-level information sharing, thereby enhancing supply chain network resilience.