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Managing supply chain resources with Big Data Analytics: a systematic review.

Authors :
Barbosa, Marcelo Werneck
Vicente, Alberto de la Calle
Ladeira, Marcelo Bronzo
Oliveira, Marcos Paulo Valadares de
Source :
International Journal of Logistics: Research & Applications; Jun2018, Vol. 21 Issue 3, p177-200, 24p
Publication Year :
2018

Abstract

Big Data Analytics (BDA) has the potential to improve demand forecasting, communications and better manage supply chain resources. Despite such recognised benefits and the increase of BDA research, little is known about the general approaches used to investigate BDA in the context of supply chain management (SCM). In the light of the Resource-based View, the main goal of this study was, by means of a systematic literature review, to comprehend how BDA has been investigated on SCM studies, which resources are managed by BDA as well as which SCM processes are involved. Our study found out that the predictive and prescriptive approaches are more frequently used and organisational, technological and human resources are often managed by BDA. It was observed a focus on Demand Management and Order Fulfilment processes and a lack of studies on Returns Management, which indicates an open research area that should be exploited by future studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13675567
Volume :
21
Issue :
3
Database :
Complementary Index
Journal :
International Journal of Logistics: Research & Applications
Publication Type :
Academic Journal
Accession number :
129058885
Full Text :
https://doi.org/10.1080/13675567.2017.1369501