Big data analytics and application for logistics and supply chain management

Publikation: Bidrag til tidsskriftLeder

DOI

Vis graf over relationer

This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analytics and applications for logistics and supply chain management, such as those through exploring technology-driven tracking strategies, financial performance relations with data driven supply chains, and implementation issues and supply chain capability maturity with big data. This editorial note summarizes the discussions on the big data attributes, on effective practices for implementation, and on evaluation and implementation methods.

SprogEngelsk
TidsskriftTransportation Research Part E: Logistics and Transportation Review
Vol/bind114
Sidetal (fra-til)343-349
ISSN1366-5545
DOI
StatusUdgivet - 2018