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Data-driven digital transformation in operations and supply chain management

Author

Listed:
  • Spanaki, Konstantina
  • Dennehy, Denis
  • Papadopoulos, Thanos
  • Dubey, Rameshwar

Abstract

Data-driven digital transformation is a dynamic capability that enables organisations to derive actionable insights and achieve a competitive edge. Data-driven technologies have played a pivotal role in evolving operations and supply chains, making them more responsive and efficient. Data-driven technologies now support advanced functions such as supply chain analytics, blockchain for security and transparency, and AI for innovation and efficiency. Research has long stressed the benefits of improved visibility and collaboration in the operations and supply chain management (O&SCM). Despite rigorous research, there remains a disconnect between theoretical frameworks and their real-world application. This gap suggests further research to better align academic insights with practical implementations in OSCM and a more comprehensive and integrated approach to understanding and applying data-driven digital transformation strategies in O&SCM. This special issue (SI) aims to deepen the theoretical understanding of data-driven digital transformation within O&SCM. We believe the 20 accepted papers out of 97 submissions contribute meaningful theoretical insights to O&SCM research and practice. These contributions not only enrich the theoretical discourse in data-driven digital transformation and O&SCM but also provide practical pathways for future research and application in diverse industry settings.

Suggested Citation

  • Spanaki, Konstantina & Dennehy, Denis & Papadopoulos, Thanos & Dubey, Rameshwar, 2025. "Data-driven digital transformation in operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:proeco:v:284:y:2025:i:c:s0925527325000842
    DOI: 10.1016/j.ijpe.2025.109599
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