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

de la Calle Vicente, Alberto; Ladeira, Marcelo Bronzo; Valadares de Oliveira, Marcos Paulo

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.

Más información

Título según WOS: ID WOS:000430095200001 Not found in local WOS DB
Título de la Revista: INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
Volumen: 21
Número: 3
Editorial: TAYLOR & FRANCIS LTD
Fecha de publicación: 2018
Página de inicio: 177
Página final: 200
DOI:

10.1080/13675567.2017.1369501

Notas: ISI