Modeling of Supply Chain Sustainability Enablers by Considering the Impact of COVID-19 on Developing Countries

The increasing threat of pandemic is severe challenge for supply chain sustainability (SCs). The deadly virus devasted the global economy and disrupt manufacturing along with supply chain operations around the globe. We therefore made this attempt to identify the enablers of sustainability for supply chain (SC) practices from the context of developing economies. The interpretive structural modeling (ISM) employed for the partitioning of sustainability enablers by developing contextual relationship. At next stage, Matriced Impacts Cruoses Multiplication Applique a un Classement (MICMAC) analysis used to classify enablers into different groups based on their driving and dependent power. The resultant hierarchical structure of ISM model shows that “Finance support (F3)” “Technological advancement (F2)” and “Develop sustainable procurement methods taking COVID-19 into consideration” are most influencing enablers of SCs to tackle the situation such as COVID-19. The findings of current study will provide guidelines to practitioners, policy makers, and governments institutes to take initiatives for the practical implement of SCs by considering recommended factors