Resilience evaluation and simulation for green supply chains: A case study of customized furniture industry using hybrid partial least squares structural equation modeling and system dynamics methods

Analytical and simulation models were used to investigate the formation mechanism and enhancement pathways of green supply chain resilience (GSCR) in customized home furnishing enterprises. A mixed-methods research approach was employed, incorporating both quantitative and qualitative data collection. For the qualitative component, anchored in resilience theory and the Technology-Organization-Environment (TOE) framework, a resilience indicator system was developed that integrates both capability and risk factors, proposing 21 mechanistic hypotheses. For the quantitative component, 179 targeted questionnaires were collected, and partial least squares structural equation modeling (PLS-SEM) was applied using SmartPLS software for factor analysis and hypothesis testing. This was followed by a fuzzy comprehensive evaluation of the case enterprise’s resilience level. Furthermore, a system dynamics model was constructed to simulate resilience development trends under four distinct scenarios. The results indicate that factors such as environmental compliance monitoring maturity and production disruption risks due to adverse events exert the most significant influence on the GSCR of customized home furnishing enterprises.