Editorial: Big Data Analytics in Logistics and Supply Chain Management

Papadopoulos, Thanos, Gunasekaran, Angappa (2018) Editorial: Big Data Analytics in Logistics and Supply Chain Management. Computers & Operations Research, 98 . pp. 251-253. ISSN 0305-0548. (doi:10.1016/j.cor.2018.05.015) (KAR id:67374)

PDF Author's Accepted Manuscript Language: English This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Download this file (PDF/195kB)
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL: https://dx.doi.org/10.1016/j.cor.2018.05.015

Item Type:	Article
DOI/Identification number:	10.1016/j.cor.2018.05.015
Divisions:	Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User:	Thanos Papadopoulos
Date Deposited:	20 Jun 2018 09:46 UTC
Last Modified:	09 Dec 2022 00:08 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/67374 (The current URI for this page, for reference purposes)

University of Kent Author Information

Papadopoulos, Thanos.

Creator's ORCID:	https://orcid.org/0000-0001-6821-1136
CReDIT Contributor Roles:

Depositors only (login required):

Altmetric

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.