Original title: Artificial intelligence in sustainable supply chain resilience with predictive analytics as a mediator and environmental uncertainty as a moderator
The study looks at whether AI helps companies in Bangladesh handle supply-chain disruptions. Managers in manufacturing and pharmaceutical industries reported how AI and predictive analyticsUsing information and analysis to anticipate what may happen next. relate to resilience, meaning the ability to withstand and recover from disruptions. AI was linked to stronger predictive analytics, which in turn was linked to stronger resilience. But environmental uncertainty weakened the link between AI and resilience, more in manufacturing than in pharmaceuticals.
Imagine running a kitchen that depends on ingredients arriving on time. When deliveries become unpredictable, planning meals ahead becomes harder, even if you have good tools and skilled cooks. In this paper, the kitchen’s ability to keep serving stands for supply-chain resilience, planning ahead stands for predictive analytics, and unpredictable deliveries stand for environmental uncertainty that can weaken AI’s link to resilience.
For manufacturers and pharmaceutical companies in Bangladesh, disruptions can threaten the flow of goods. The findings suggest that AI and predictive analytics are linked to stronger resilience, but the benefit of AI may be smaller when the environment is uncertain—especially for manufacturers.
The abstract reports manager survey data from manufacturing and pharmaceutical industries in two divisions of Bangladesh. It does not establish whether the relationships apply to other countries, industries, or regions, or whether AI directly causes greater resilience.
Ask anything about this paper. Answers come from its abstract, and say so when the abstract doesn't cover your question.
Artificial intelligence in sustainable supply chain resilience with predictive analytics as a mediator and environmental uncertainty as a moderator — Md. Obaidul Hoque — Discover Artificial Intelligence — doi:10.1007/s44163-026-02314-9
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.