Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to
identify, assess, mitigate and monitor unexpected events or conditions which might have an …

In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …

Managing supply chain risks has received increased attention in recent years, aiming to
shield supply chains from disruptions by predicting their occurrence and mitigating their …

Although predictive machine learning for supply chain data analytics has recently been
reported as a significant area of investigation due to the rising popularity of the AI paradigm …

Modern agricultural technology management is nowadays crucial in terms of the economy
and the global market, while food safety, quality control, and environmentally friendly …

Digital Supply Chain Surveillance (DSCS) is the proactive monitoring and analysis of digital
data that allows firms to extract information related to a supply network, without the explicit …

The ongoing COVID-19 pandemic has proven to be a real challenge for courier companies
on a global scale and has affected customer behavior worldwide. This paper attempts to …

The disruption of the material supply chain may impact planned production schedules with
both, financial and non-financial implications. It has always been difficult to make the Supply …

The explosion of e-commerce creates new opportunities for courier companies to thrive,
making the industry one of the success stories, due to its sustainability and resilience during …

This study aims to synthesise knowledge about big data (BD) in the area of purchasing and
supply management (PSM) and to develop an agenda for future research. A systematic …