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Enhancing supply chain resilience through digital twin-enabled risk management: The role of logistic service coordination and distribution network efficiency

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  • Sahoo, Saumyaranjan
  • Kumar, Ashwani
  • Mangla, Sachin Kumar
  • Emrouznejad, Ali

Abstract

Events such as COVID-19 and the Suez Canal blockade exposed to the world how susceptible global supply networks are, as well as how they impede logistic service system coordination (LSSC) and distribution network efficiency (DNE). To stay ahead of the competition and ensure operational sustainability in the current fast-paced, interlinked global market, organizations must prioritize supply chain resilience (SCR). Given this, the present investigation focuses upon investigating the impact of a digital-twin-enabled risk management system (DTRMS) on SCR improving through facilitators, including DNE and LSSC. Data is collected from 281 manufacturers in Asia-Pacific and the Middle-East Region using a survey approach and analyzed using structural equation modeling. The results show that having a DTRMS is significantly associated with higher LSSC and DNE, which are in turn associated with higher SCR. An analysis of the association between DTRMS-LSSC, DTRMS-DNE, and DTRMS-SCR using innovation-focused complementary assets (ICA) as a moderator shows that only the interaction between ICA and DTRMS has a favorable influence on LSSC. The study result contributes to the expanding body of knowledge on digital transformation in supply chain management during the post-pandemic period. It also enhances the theoretical foundations of resource orchestration theory and dynamic capability view theory. Manufacturers and logistics providers can benefit from these results to establish reliable and resilient supply chain operations using digital twin technologies.

Suggested Citation

  • Sahoo, Saumyaranjan & Kumar, Ashwani & Mangla, Sachin Kumar & Emrouznejad, Ali, 2026. "Enhancing supply chain resilience through digital twin-enabled risk management: The role of logistic service coordination and distribution network efficiency," International Journal of Production Economics, Elsevier, vol. 297(C).
    • Handle: RePEc:eee:proeco:v:297:y:2026:i:c:s0925527326001076
    DOI: 10.1016/j.ijpe.2026.110016
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