Big data analytics capabilities and supply chain performance: testing a moderated mediation
model using partial least squares approach | Emerald Insight Books and journals Case studies …

In light of global environmental concerns growing, environmental awareness within firms
has become more important than before, and many scholars and researchers have argued …

Purpose The purpose of this study is to explore how big data analytics (BDA) as a potential
information technology (IT) innovation can facilitate the retail logistics supply chain (SC) from …

Data Analytics (DA) plays an important role in improving and optimizing the processes in a
Supply Chain (SC) network. Due to a huge amount of data generated in the various SC …

In the current competitive environment, Big Data Analytics (BDA) has become a prominent
metric to reach an integrated, efficient, and effective supply chain (SC). In the literature, the …

This article focuses on manufacturing logistics, exploring how Italian companies are
approaching Logistics 4.0. The purpose is to evaluate the state of the art of technology …

Logistics operations are becoming increasingly complex and require accurate data for
effective management. The use of big data in logistics management is a relevant issue due …

Purpose Construction suffers from “peculiarities” that concern the temporary natures of the
construction site, project teams and unique product design. Considering the digital …

Background: In develo** countries, the cost of logistics has substantially increased as a
result of the rise in fuel prices and the limited number of used vehicles. One of the key …

Background: In develo** countries, the cost of logistics has substantially increased as a
result of the rise in fuel prices and the limited number of used vehicles. One of the key …