This study empirically tested the relationships of multinational enterprises (MNE) and non-MNE customer pressures with the compliance and commitment of garment industry suppliers to climate change adaptation (CCA) and the disaster risk reduction (DRR) goal (sustainable development goal 13). It further investigated the effect of mitigating climate change and disaster risks among sub-suppliers in the supply chain (SC) network on SC sustainability performance under the moderating effect of artificial intelligence-powered supplier-relationship management. The study applied a mixed-methods research approach. The literature review led to the development of the theoretical model and hypotheses generation and further testing, using structural equation modeling, which was followed by the qualitative investigation completed during the second phase. This study highlights the motivation behind CCA and DRR-related practices that can guide SC managers when creating effective sustainability policies.

本研究通过实证检验了跨国企业 (MNE) 和非跨国企业客户压力与服装行业供应商对气候变化适应 (CCA) 和减少灾害风险 (DRR) 目标（可持续发展目标 13）的遵守和承诺之间的关系。它进一步研究了在人工智能驱动的供应商关系管理的调节作用下，减轻供应链 (SC) 网络中子供应商之间的气候变化和灾害风险对 SC 可持续性绩效的影响。该研究采用了混合方法研究方法。文献回顾导致了理论模型的发展和假设的产生，并使用结构方程模型进行了进一步的测试，随后在第二阶段完成了定性调查。