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Bridging the technical and managerial side of big data analytics for supply chain planning: insight from a Delphi study

Year: 2020

Type: conference-paper

Abstract: Big data analytics (BDA) has captured growing research interests in the supply chain domain, where supply chain management is often investigated as a broad topic. Limited research effort has addressed the link of BDA to the supply chain planning (SCP) processes. Through a Delphi study, this paper reveals insight from academicians and practitioners on i) matching BDA technology, big data sources and impact to punctual SCP processes; ii) managerial issues that affect the establishment of the link between BDA and SCP in terms of determinants for BDA adoption decisions in supply chains.

Source: Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

Authors: J. Xu, M. Pero, F. Ciccullo

Language: English

Topic: Big Data and Business Intelligence

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6998988230

FWCI:

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