Artificial intelligence in sustainable supply chain resilience with predictive analytics as a mediator and environmental uncertainty as a moderator

Abstract Recent disruptions caused by pandemics, climate change, and geopolitical conflicts have exposed the vulnerability of supply chains, particularly in developing economies with limited digital infrastructure. This study investigates how artificial intelligence can increase sustainable supply chain resilience through predictive analytics. It explores the influence of environmental uncertainty on sustainable supply chain resilience in Bangladesh’s manufacturing and pharmaceutical industries.