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Special Issue of Production and Operations Management on “Big Data in Supply Chain Management”

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  • Nada R. Sanders
  • Ram Ganeshan

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Suggested Citation

  • Nada R. Sanders & Ram Ganeshan, 2015. "Special Issue of Production and Operations Management on “Big Data in Supply Chain Management”," Production and Operations Management, Production and Operations Management Society, vol. 24(11), pages 1835-1836, November.
    • Handle: RePEc:bla:popmgt:v:24:y:2015:i:11:p:1835-1836
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    File URL: http://hdl.handle.net/10.1111/poms.12516
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    Cited by:

    1. Eric W. K. See-To & Eric W. T. Ngai, 2018. "Customer reviews for demand distribution and sales nowcasting: a big data approach," Annals of Operations Research, Springer, vol. 270(1), pages 415-431, November.
    2. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
    3. Eva Labro & Mark Lang & Jim Omartian, 2019. "Predictive Analytics and Organizational Architecture: Plant-Level Evidence from Census Data," Working Papers 19-02, Center for Economic Studies, U.S. Census Bureau.
    4. Samuel Fosso Wamba & Angappa Gunasekaran & Rameshwar Dubey & Eric W. T. Ngai, 2018. "Big data analytics in operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 1-4, November.
    5. Deepa Mishra & Angappa Gunasekaran & Thanos Papadopoulos & Stephen J. Childe, 2018. "Big Data and supply chain management: a review and bibliometric analysis," Annals of Operations Research, Springer, vol. 270(1), pages 313-336, November.

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