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Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework

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  • Dimitrios Bechtsis
  • Naoum Tsolakis
  • Eleftherios Iakovou
  • Dimitrios Vlachos

Abstract

The increasing exposure of global supply chains to severe disruptions such as the ones related to the COVID-19 pandemic, clearly demonstrated the need for novel data-driven risk management paradigms that monetise data from internal and external stakeholders to support supply chain security, resilience, and sustainability. We first motivate the challenges that supply chains are facing under the new realities. We then provide a critical taxonomy of the relevant literature and identify gaps which include: (i) the impact of security on supply chain operations; (ii) cost effective resiliency strategies and practices; and (iii) the social and labour dimensions of sustainability. We then propose a new generalised framework that encompasses all the identified challenges, gaps in literature and in practice, and opportunities in supply chain management research. The proposed framework is validated through a real-world case study of the organic food supply chain. This validation further highlights the need for data-driven digital technologies that enable data collection and management, secure storage and effective data processing towards data monetisation for supply chain security, cost-competitive resilience, and sustainability across end-to-end operations.

Suggested Citation

  • Dimitrios Bechtsis & Naoum Tsolakis & Eleftherios Iakovou & Dimitrios Vlachos, 2022. "Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework," International Journal of Production Research, Taylor & Francis Journals, vol. 60(14), pages 4397-4417, July.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:14:p:4397-4417
    DOI: 10.1080/00207543.2021.1957506
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    Cited by:

    1. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    2. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
    3. Wong, Lai-Wan & Tan, Garry Wei-Han & Ooi, Keng-Boon & Chan, Hing Kai, 2024. "Blockchains for SMEs: A Fit-Viability perspective moderated by organizational innovation diffusion for supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    4. Jan Frick, 2022. "Sustainable Industry and Supply Chain – What to Teach," Eurasian Journal of Business and Management, Eurasian Publications, vol. 10(4), pages 212-221.
    5. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    6. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

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