Digital Twins and Cross-Border Logistics Systems Risk Management Capability: An Innovation Diffusion Perspective

This study ground in the Innovation Diffusion Theory (IDT), explores the value of digital twin technology in cross-border logistics risk management. Using structural equation modeling, it examines how five innovation characteristics of digital twins—relative advantage, compatibility, complexity, trialability, and observability—influence risk management capabilities, specifically robustness and resilience, within cross-border logistics systems. The findings reveal that relative advantage, compatibility, trialability, and observability significantly enhance both robustness and resilience, while complexity does not show a significant negative impact. Furthermore, the study confirms that improvements in risk management capabilities contribute positively to competitive performance. This research not only enriches the theoretical understanding of digital twin applications in cross-border logistics but also offers valuable insights for practical implementation by enterprises.

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Institutions

Publication Details

Journal
Systems
Published
2025-08-04
DOI
https://doi.org/10.3390/systems13080658
Citations
2
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
4.45

Funders

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article

Digital Twins and Cross-Border Logistics Systems Risk Management Capability: An Innovation Diffusion Perspective

Jinge Yao, Saier Su, Qiwei Pang, Shuyan Li et al.
2 citations
Systems
Sustainable Supply Chain Management
4.45
article

Digital Twins and Cross-Border Logistics Systems Risk Management Capability: An Innovation Diffusion Perspective

Jinge Yao, Saier Su, Qiwei Pang, Shuyan Li, Pengwei Jin
article en
2 citations

Abstract

This study ground in the Innovation Diffusion Theory (IDT), explores the value of digital twin technology in cross-border logistics risk management. Using structural equation modeling, it examines how five innovation characteristics of digital twins—relative advantage, compatibility, complexity, trialability, and observability—influence risk management capabilities, specifically robustness and resilience, within cross-border logistics systems. The findings reveal that relative advantage, compatibility, trialability, and observability significantly enhance both robustness and resilience, while complexity does not show a significant negative impact. Furthermore, the study confirms that improvements in risk management capabilities contribute positively to competitive performance. This research not only enriches the theoretical understanding of digital twin applications in cross-border logistics but also offers valuable insights for practical implementation by enterprises.

SystemsVol. 13(8)
Ningbo University (CN), Ministry of Economy (MK), University of Nottingham Ningbo China (CN), Ningbo University of Technology (CN)
National Office for Philosophy and Social Sciences
Openalex Percentile: Top 6%
Sustainable Supply Chain Management
4.45
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Digital Twins and Cross-Border Logistics Systems Risk Management Capability: An Innovation Diffusion Perspective — Jinge Yao, Saier Su, et al. · Systems (2025) | TGRS Research Map | TGRS