Managing supply chain resources with big data analytics: a systematic review

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dc.creatorMarcelo Werneck Barbosa
dc.creatorAlberto de la Calle Vicente
dc.creatorMarcelo Bronzo Ladeira
dc.creatorMarcos Paulo de Oliveira Valadares
dc.date.accessioned2022-11-25T13:29:30Z
dc.date.accessioned2025-09-08T23:08:13Z
dc.date.available2022-11-25T13:29:30Z
dc.date.issued2017
dc.identifier.doi10.1080/13675567.2017.1369501
dc.identifier.issn13675567
dc.identifier.urihttps://hdl.handle.net/1843/47434
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Logistics Research and Applications
dc.rightsAcesso Restrito
dc.subject Logística empresarial
dc.subject.otherBig data analytics
dc.subject.otherBusiness analytics
dc.subject.otherSupply chain analytics
dc.subject.otherSupply chain intelligence
dc.subject.otherSupply chain management
dc.subject.otherResource-based view
dc.titleManaging supply chain resources with big data analytics: a systematic review
dc.typeArtigo de periódico
local.citation.epage24
local.citation.issue3
local.citation.spage1
local.citation.volume21
local.description.resumoBig 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.
local.publisher.countryBrasil
local.publisher.departmentFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS
local.publisher.initialsUFMG
local.url.externahttp://https://www.tandfonline.com/doi/full/10.1080/13675567.2017.1369501

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