Unraveling Imperfect Information in Global Supply Chains: The Efficacy of Real-Time Analytics in Mitigating Economic Disruptions

Robin Thompson; Taylor Martin; Thomas Harris; Skyler Walker

Authors

Robin Thompson PhD
Taylor Martin Associate Professor
Thomas Harris Professor
Skyler Walker Dr. Sc

Keywords:

Global Supply Chains, Economic Disruptions, Real-Time Analytics, Imperfect Information, Decision-Making, Supply Chain Resilience, Data Utilization, Market Volatility

Abstract

The increasing complexity of global supply chains has rendered traditional economic models inadequate in addressing market fluctuations. This paper explores the role of real-time analytics as a mechanism for improving decision-making in response to economic disruptions. Employing a mixed-methods approach, we analyze case studies from various industries to evaluate the impact of real-time data on supply chain resilience and efficiency. Our findings reveal that companies leveraging advanced analytics exhibit significant reductions in response times to market volatility, leading to enhanced economic stability. This study highlights the necessity of integrating real-time analytics into supply chain management to mitigate risks associated with imperfect information.

Author Biographies

Robin Thompson, PhD

PhD
University of Mannheim
68131 Mannheim, Germany

Taylor Martin, Associate Professor

Associate Professor
Stanford University
450 Serra Mall, Stanford, CA 94305, USA

Thomas Harris, Professor

Professor
University of Cambridge
The Old Schools, Trinity Ln, Cambridge CB2 1TN, United Kingdom

Skyler Walker, Dr. Sc

Dr. Sc
University of Toronto
27 King's College Cir, Toronto, ON M5S 1A1, Canada

References

Dimen, L., Huseynova, K., Muhammadali, A., Huseynova, A., Aslanov, E., Hajiyeva, N., & Nuta, A. C. (2026). The Relationship Between Energy Dependency, Energy Diversification, and Economic Growth: Assessing Energy Resilience in Europe. Energies, 19(7), 1723.

Huseynova, K., Hajiyeva, S., Nazarov, V., Habibova, Z., Guliyev, R., Valiyeva, K., & Teymurlu, R. (2026). DOES EMPLOYMENT STRuCTuRE DRIVE TRADE IN SERVICES AND FINANCIAL SERVICE ExPORTS?.

Huseynova, K., Habibova, Z., Quliyev, M. Ü. Ş. F. İ. Q., & Guluzade, F. (2026). Digital Transformation of Public Services: The Experience of Implementing E-Government in Different Regions. Law, State and Telecommunications Review, 31(2).

Papaskua, I., & Joglidze, D. (2026). Digital Transformation of Accounting Systems and Challenges of Inventory Control in Georgia. Business and Legislation, 19(1), 87-95.

Рагимов, Э. Р. (2011). Роль программных комплексов в управлении безопасностью корпоративной информационной системы. Телекоммуникации, (12), 4-7.

Алгулиев, P. М., & Pагимов, Э. P. (2006). Синтез аpхитектуpы защищенной коpпоpативной сети. Телекоммуникации, (2), 19-23.

Рагимов, Э. Р. (2005). КЛАССИФИКАЦИЯ УГРОЗ ПО СЕРВИСАМ БЕЗОПАСНОСТИ НА ОСНОВЕ СТАТИСТИЧЕСКИХ ДАННЫХ. Информационное противодействие угрозам терроризма, (5), 87-92.

Рагимов, Э. Р. (2011). Модель идентификации безотказной работы программных средств в корпоративных сетях. Телекоммуникации, (2), 2-5.

Алгулиев, Р. М., & Рагимов, Э. Р. (2005). Об одном методе оценки информационной безопасности корпоративных сетей в стадии их проектирования. Информационные технологии, (7), 35-39.

Rahimov, E., & Aghayev, T. (2026). Predictive Load Balancing in Distributed Systems: A Comparative Study of Round Robin, Weighted Round Robin, and a Machine Learning Approach. Engineering Proceedings, 122(1), 26.