Author
Listed:
- 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
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:297:y:2026:i:c:s0925527326001076. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.