Big data and analytics in operations and supply chain management: managerial aspects and practical challenges

Thanos Papadopoulos, Angappa Gunasekaran, Rameshwar Dubey, Samuel Fosso Wamba

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Big Data & Analytics’ (BD&A) has become increasingly important over the last years in both academic and practitioner worlds. Organisations are trying to harness the benefits of BD&A, defined as ‘as the techniques, technologies, systems, practices, methodologies, and applications that analyze critical business data to help an enterprise better understand its business and market and make timely business decisions. There is a growing need to understand the managerial processes, practical aspects and challenges, and business effects when utilising BD&A tools and techniques in organizations and supply chains.

Original languageEnglish (US)
Pages (from-to)873-876
Number of pages4
JournalProduction Planning and Control
Volume28
Issue number11-12
DOIs
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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