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

Author

Listed:
  • Thanos Papadopoulos

    (Kent Business School, University of Kent)

  • Angappa Gunasekaran

    (University of Massachusetts [Dartmouth] - UMASS - University of Massachusetts System)

  • Rameshwar Dubey

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

  • Samuel Fosso Wamba

    (Toulouse Business School)

Abstract

No abstract is available for this item.

Suggested Citation

  • Thanos Papadopoulos & Angappa Gunasekaran & Rameshwar Dubey & Samuel Fosso Wamba, 2017. "Big data and analytics in operations and supply chain management: managerial aspects and practical challenges," Post-Print hal-02279562, HAL.
    • Handle: RePEc:hal:journl:hal-02279562
    DOI: 10.1080/09537287.2017.1336795
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    Citations

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    Cited by:

    1. Alpana Taneja & Vinay Goyal & Kunjana Malik, 2023. "Sustainability‐oriented innovations – Enhancing factors and consequences," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(6), pages 2747-2765, November.
    2. Li, Lixu & Ye, Fei & Zhan, Yuanzhu & Kumar, Ajay & Schiavone, Francesco & Li, Yina, 2022. "Unraveling the performance puzzle of digitalization: Evidence from manufacturing firms," Journal of Business Research, Elsevier, vol. 149(C), pages 54-64.
    3. Areej Althabatah & Mohammed Yaqot & Brenno Menezes & Laoucine Kerbache, 2023. "Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes," Logistics, MDPI, vol. 7(3), pages 1-40, September.
    4. El-Kassar, Abdul-Nasser & Singh, Sanjay Kumar, 2019. "Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 483-498.
    5. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
    6. Zhu Xiangyu & Yang Yang, 2021. "Big Data Analytics for Improving Financial Performance and Sustainability," Journal of Systems Science and Information, De Gruyter, vol. 9(2), pages 175-191, April.
    7. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    8. Patrucco, Andrea S. & Marzi, Giacomo & Trabucchi, Daniel, 2023. "The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions," Technovation, Elsevier, vol. 126(C).

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