Highlights MNE customers have a positive association with the compliance of local suppliers to CCA and DRR goals. MNE customers have a positive association with the commitment of local suppliers to CCA and DRR goals. Non-MNE customers do not show any association with compliance and commitment of local suppliers to CCA and DRR goals. AI-SRM capability is found to exert a moderating effect. Mitigating climate change and disaster risks among sub-supplier are critical for enhancing social sustainability.

    Abstract 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.


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    Title :

    Climate change adaptation and disaster risk reduction in the garment industry supply chain network




    Publication date :

    2023-01-24




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






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