Abstract Coronavirus disease 2019 (COVID-19) has placed tremendous pressure on supply
chain risk management (SCRM) worldwide. Recent technological advances, especially …

Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

In recent years, the integration of artificial intelligence (AI) into logistics optimization has
gained significant attention, particularly concerning sustainability criteria. This article …

Today's supply chains (SC) have become vulnerable to unexpected and ever-intensifying
disruptions from myriad sources. Consequently, the concept of supply chain resilience …

This study introduces a data-centric framework for end-to-end supply chain resilience
management. With major disruptions such as pandemics profoundly affecting industries and …

Public health emergencies have brought great challenges to the stability of the e-commerce
supply chain. Demand forecasting is a key driver for the sound development of e-commerce …

Highlights•Large datasets generated from food safety-related operations.•Machine learning
and deep-learning algorithms applied to food safety.•Quick, robust, and efficient approaches …

The paper explored mutual impact of logistics efficiency on economic benefits, based on a
panel data of 28 provinces from 2008 to 2017 in China. The author used spatial …

The boom in the electronics industry has made a variety of credit card-sized computer
systems and plenty of accompanying sensing and acting elements widely available, at …

The problem of cold-chain food safety is becoming increasingly prominent. Cold food chain
risk assessment is an important way to ensure cold-chain food safety. Using CiteSpace, this …