Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41314

Big Data and its Applications in Supply Chain Management: Findings from a Delphi Study

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Title: Big Data and its Applications in Supply Chain Management: Findings from a Delphi Study
Authors: Brinch, Morten
Stentoft, Jan
Jensen, Jesper Kronborg
Keywords: Analytic applications
Big data
Delphi study
SCOR
Supply chain management
Issue Date: 04 Jan 2017
Abstract: Big data and its applications have increasingly received interest by both scholars and practitioners. However, there is still missing evidence regarding how big data is understood as well as its applications in supply chain management (SCM). Empirical contributions are especially limited. This study seeks to address this gap through an explorative Delphi study to understand the terminology of big data and its application in the SCM processes of sourcing, manufacturing, service, logistics, planning, and return. The findings reveal that big data is mostly concerned with data collection and logistics, service, and planning processes are the most applicable processes for deploying big data analytics in SCM. Furthermore, a range of applications have been identified and ranked within each process.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41314
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.161
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Intelligent Decision Support and Big Data for Logistics and Supply Chain Management Minitrack



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