ABSTRACT A good port data management system can undoubtedly improve a port's
operations. This, in turn, affects the economic development of the port city or region. Given …

Purpose The purpose of this study is to map current knowledge on big data analytics (BDA)
for supply chain risk management (SCRM) while providing future research needs …

This study considers a decentralized supply chain in which a downstream manufacturer
purchases a component from an upstream supplier privileged with private information on …

Business analytics is as a rule progressively used to pick up data driven experiences to help
basic leadership. We are finding a new technique which is help to less time-consuming …

Sharing forecast information helps supply chain parties to better match demand and supply.
The extant literature has shown that sharing forecast information improves supply chain …

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 era of big data brings unprecedented opportunities and challenges to management
research. As one of the important functions of management decision-making, evaluation has …

Although feature selection for large data has been intensively investigated in data mining,
machine learning, and pattern recognition, the challenges are not just to invent new …

Big data ability helps obtain more accurate demand signal. However, is better demand
signal always beneficial for the supply chain parties? To answer this question, we …

This chapter studies the impact of accelerating digitalization on supply chain risk
management. The interrelationships between digital technologies and supply chain …