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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

Abstract

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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(8), pages 1371-1372, August.
    • Handle: RePEc:bla:popmgt:v:24:y:2015:i:8:p:1371-1372
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    File URL: http://hdl.handle.net/10.1111/poms.12422
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    Citations

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    Cited by:

    1. Lidong Wang & Cheryl Ann Alexander, 2015. "Big Data Driven Supply Chain Management and Business Administration," American Journal of Economics and Business Administration, Science Publications, vol. 7(2), pages 60-67, June.
    2. Morgan Swink & Kejia Hu & Xiande Zhao, 2022. "Analytics applications, limitations, and opportunities in restaurant supply chains," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3710-3726, October.
    3. 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.
    4. 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.
    5. 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.
    6. 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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