Announcements Calls for Papers

Global Supply Chains under Trade Uncertainty – Leveraging Technology and Innovation

Call for Papers

Special Section of IEEE Transactions on Engineering Management:
Global Supply Chains under Trade Uncertainty – Leveraging Technology and Innovation

Guest Editors

  • Sean Arisian (La Trobe University, Australia), corresponding guest editor
  • Mabel C. Chou (National University of Singapore, Singapore)
  • Maggie Dong (University of New South Wales, Australia)
  • Eric K.H Leung (University of Liverpool, UK)

Overview

Global supply chains are increasingly disrupted by trade uncertainty arising from tariff volatility, abrupt trade policy shifts, geopolitical tensions, and external disruptions such as pandemics and natural disasters. These disruptions impact the flow of goods, increase operational costs, create inventory shortages, and undermine overall efficiency (Bednarski et al., 2023; Darby et al., 2020; Fan et al., 2022; Hezarkhani et al., 2023; Lücker et al., 2024; Moradlou et al., 2024).

For example, trade tensions between the U.S. and China, accompanied by tariffs on key commodities, forced companies to shift sourcing and production locations while increasing inventory levels to mitigate policy uncertainty (Fan et al., 2022). A Moody’s report revealed that U.S. importers absorbed 90% of the additional costs resulting from tariffs (Lee, 2021), while a survey of over 200,000 firms indicated that 40% of U.S. companies experienced higher operating costs due to the trade war (Sim, 2020). The repercussions extended beyond the U.S. and China, affecting third countries linked through global supply chains (Mao & Görg, 2020; Wu et al., 2021). Similarly, in 2022, the geopolitical conflict between Russia and Ukraine triggered unprecedented sanctions, disrupting global supply chains and increasing pressure on the trade of critical commodities such as wheat, fertilizer, natural gas, and crude oil (Izzeldin et al., 2023; Srai et al., 2023). These disruptions led to a crisis in European energy markets (Bednarski et al., 2023) and further aggravated global food insecurity (Glauber et al., 2023).

In addition to severe trade tensions and geopolitical conflicts, political transitions of individual countries often contribute to trade uncertainties, further complicating the global supply chain landscape. For instance, the turnover of a country’s top politician has been shown to increase trade uncertainties, leading to reduced supply chain involvement in the affected countries (Dong et al., 2022). In this unpredictable global environment, firms face immense challenges in balancing resilience and competitiveness (Asian et al., 2020; Reza-Gharehbagh et al., 2021). Exploring innovative strategies and solutions to mitigate these risks is critical for ensuring the stability and efficiency of global supply chains.

Traditional risk mitigation strategies, including inventory stockpiling, supplier and production diversification, nearshoring, and onshoring, have been widely adopted to address trade uncertainty. While these strategies offer some level of protection, they often fail to adequately address the complexities and dynamic challenges of modern global supply chains. Key limitations include:

  • Scalability Limitations: Stockpiling is costly and logistically demanding, imposing high carrying costs, straining storage infrastructure, and creating inefficiencies in inventory turnover (Liu et al., 2016). These challenges are especially acute for time-sensitive or perishable goods (Lee et al., 2014).
  • Operational Challenges: Diversification can add complexity—misaligned lead times, coordination difficulties, and logistics inefficiencies—undermining resilience benefits (Fan et al., 2022).
  • Adaptation Barriers: Near/onshoring face legal, contractual, and infrastructural constraints; lack of real-time data and advanced planning tools limits swift adaptation.
  • Economic Welfare Concerns: Open questions remain about balancing global efficiency with domestic welfare and equitable stakeholder outcomes.

Despite extensive research on logistics and supply chains, discussion of direct impacts of trade uncertainty and technology-driven solutions remains limited (Charpin et al., 2024; Dong & Kouvelis, 2020). There is an urgent need to explore breakthrough technologies and inclusive, technology-driven mechanisms that counterbalance losses from trade uncertainty.

The rise of Industry 5.0 (collaborative robots, autonomous systems, human-AI interaction, additive manufacturing, real-time insights) enables adaptive risk-mitigation frameworks (Nazarian & Khan, 2024; Yu et al., 2022). Alongside AI/ML, big data analytics, blockchain, automation, and cloud computing (Hsu et al., 2024; Wang et al., 2023; Leung et al., 2022), firms can build more resilient, efficient, and adaptive global supply chains.

This Special Section invites high-quality, interdisciplinary research blending theoretical depth with practical insights. We especially welcome studies integrating advanced technologies into supply chain risk management to address inefficiencies in traditional mitigation methods.

Scope and Themes

  • Modelling trade uncertainty effects: Tariffs, policy changes, geopolitics, external disruptions across sectors.
  • Gaps in traditional mitigation: Limits of stockpiling, diversification, near/onshoring in flexibility, scalability, cost-effectiveness.
  • Stockpiling in volatile markets: Inefficiencies in automotive, pharmaceuticals, etc.
  • Diversified sourcing complexities: Lead-time misalignment, production coordination, supply reliability across policies.
  • AI/ML & big data: Demand forecasting, inventory optimization, scenario-based decisions.
  • Blockchain: End-to-end visibility, trust, secure and transparent cross-border transactions.
  • Automation & robotics: Streamlined logistics, reduced error, scalable responsiveness.
  • Industry 5.0 for adaptability: Cobots, advanced manufacturing, real-time insights integrated with risk strategies.
  • Integrating tech with tradition: Frameworks that fuse advanced tech with established mitigations.
  • Policy recommendations: Measures that foster technological adoption for resilience and efficiency.

Submission Guidelines

Submissions should comply with IEEE Transactions on Engineering Management formatting and style requirements. Research should demonstrate methodological rigor and highlight implications for theory and practice.

Submit via: https://mc.manuscriptcentral.com/tem-ieee

Recommended Methodologies

  • Case Studies
  • Empirical Research
  • Analytical Modelling
  • Multi-Methodological Approaches
  • Simulation and System Dynamics

Important Dates

EventDate
Submission Open Date01 July 2025
Submission Deadline31 December 2025

Guest Editor Bios

  • Sobhan (Sean) Arisian — Discipline lead for Sustainable Operations Management, La Trobe Business School. Research focuses on the global supply chain/international trade interface and transformative digital supply chain strategies for indigenous innovation. Publications include Production & Operations Management, IEEE Transactions on SMC, International Journal of Production Economics, and International Journal of Production Research. Associate Editor for “TRE”; Editorial Review Board member for IEEE Transactions on Engineering Management.
  • Mabel C. Chou — Associate Professor, Analytics & Operations, National University of Singapore (NUS). Research in production scheduling and supply chain analysis; publications in Operations Research, Management Science, IEEE Transactions on Automatic Control, Mathematical Programming, POM, EJOR, and FSMJ. Associate Editor for Operations Research and Pacific Journal of Optimization.
  • Maggie Chuoyan Dong — Head of School & Professor, School of Marketing, University of New South Wales. Interests span B2B marketing and the marketing-operations interface (supply networks, resilience, digital transformation). Publications include JOM, POM, JMR, ISR, IEEE TEM, and Decision Sciences. Department Editor of IEEE TEM, Associate Editor of Decision Sciences, Editorial Board Member of JAMS, and member of the College of Experts, Australian Research Council.
  • Eric Ka Ho Leung — Associate Professor in Digital Business & Data Analytics, University of Liverpool Management School. Publications in IEEE TEM, EJOR, Transportation Research Part E, IJPE, and IJPR; authored book series including Progress in Economics Research and Managerial Strategies and Solutions for Business Success in Asia. Research interests include supply chain management, e-commerce logistics, transportation management, (big) data analytics, digital transformation, AI/ML, and IoT applications.

References

  1. Asian, S., Wang, J., & Dickson, G. (2020). Trade disruptions, behavioral biases, and social influences: Can luxury sporting goods supply chains be immunized? Transportation Research Part E, 143, 102064.
  2. Bednarski, L., Roscoe, S., Blome, C., & Schleper, M. C. (2023). Geopolitical disruptions in global supply chains: a state-of-the-art literature review. Production Planning & Control, 1–27. https://doi.org/10.1080/09537287.2023.2286283
  3. Charpin, R., London, J., & Vincent, N. (2024). The effect of geopolitical tensions on international research collaborations and its implications for global operations management. International Journal of Production Economics, 268, 109120. https://doi.org/10.1016/j.ijpe.2023.109120
  4. Darby, J. L., Ketchen Jr, D. J., Williams, B. D., & Tokar, T. (2020). The implications of firm‐specific policy risk, policy uncertainty, and industry factors for inventory: A resource dependence perspective. Journal of Supply Chain Management, 56(4), 3–24. https://doi.org/10.1111/jscm.12229
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  6. Dong, M. C., Huang, Q., & Liu, Z. (2022). Adjusting supply chain involvement in countries with politician turnover: A contingency framework. Journal of Operations Management, 68(8), 824–854. https://doi.org/10.1002/joom.1213
  7. Fan, D., Zhou, Y., Yeung, A. C., Lo, C. K., & Tang, C. (2022). Impact of the US–China trade war on the operating performance of US firms: The role of outsourcing and supply base complexity. Journal of Operations Management, 68(8), 928–962. https://doi.org/10.1002/joom.1225
  8. Glauber, J. W., Laborde Debucquet, D., & Mamun, A. (Eds.). (2023). From bad to worse: How Russia-Ukraine war-related export restrictions exacerbate global food insecurity. CGIAR. https://doi.org/10.2499/9780896294394_18
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  10. Hsu, C.-H., Wu, J.-Z., Zhang, T.-Y., & Chen, J.-Y. (2024). Deploying Industry 5.0 drivers to enhance sustainable supply chain risk resilience. International Journal of Sustainable Engineering, 17(1), 1–28. https://doi.org/10.1080/19397038.2024.2327381
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  13. Lee, Y. N. (2021). U.S. companies are bearing the brunt of Trump’s China tariffs. CNBC. Link
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  22. Srai, J. S., Graham, G., Van Hoek, R., Joglekar, N., & Lorentz, H. (2023). Impact pathways: unhooking supply chains from conflict zones—reconfiguration and fragmentation lessons from the Ukraine–Russia war. International Journal of Operations & Production Management, 43(13), 289–301. https://doi.org/10.1108/IJOPM-08-2022-0529
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  25. Yu, W., Chavez, R., Jacobs, M. A., & Wong, C. Y. (2022). Openness to technological innovation, supply chain resilience, and operational performance: exploring the role of information processing capabilities. IEEE Transactions on Engineering Management, 71, 1258–1270. https://doi.org/10.1109/TEM.2022.3156531

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