articleProduction and Operations ManagementDec 28, 2017Closed access

Big Data Analytics in Operations Management

TCTsan‐Ming ChoiSWStein W. WallaceYWYulan Wang

Hong Kong Polytechnic University · Norwegian School of Economics

Indexed incrossref

Abstract

Big data analytics is critical in modern operations management (OM). In this study, we first explore the existing big data‐related analytics techniques, and identify their strengths, weaknesses as well as major functionalities. We then discuss various big data analytics strategies to overcome the respective computational and data challenges. After that, we examine the literature and reveal how different types of big data methods (techniques, strategies, and architectures) can be applied to different OM topical areas, namely forecasting, inventory management, revenue management and marketing, transportation management, supply chain management, and risk analysis. We also investigate via case studies the…

Citation impact

903
total citations
FWCI
61.23
Percentile
100%
References
72
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Big data
  • Analytics
  • Data science
  • Computer science
  • Revenue management
  • Business analytics
  • Data analysis
  • Revenue
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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