The Impact of Cross-Border Supply Chain Management on Operational Efficiency in the Post-Pandemic Global Economy

Abstract

This paper analyses how cross-border supply chain management affects the efficiency of operations in the global economy, post-pandemic. It discusses the impact of the COVID-19 pandemic on operational measures like the cost per unit, the lead time, and on-time delivery and possible approaches to enhance the supply chain functioning. A mixed-methods approach was employed, comprising both qualitative case studies and quantitative surveys. Data was gathered on firms operating in different industries to examine the important metrics of operational efficiency. The survey aims at understanding the impact of technology adoption, diversification of suppliers and resilience-building strategies.  The analysis concludes that the cost per unit rose by 20%, lead time by 71.43%, and timely shipment by 10.53% after the pandemic. Nevertheless, by embracing AI, blockchain, and IoT, companies increased their efficiency by 20%, having a more transparent supply chain and demand forecasting. Supplier diversification and real-time tracking contributed towards risk reduction and enhancement of operations. This study notes that the use of technology and diversification of suppliers in improving operational efficiency is very important. Firms that adopted such strategies made notable changes, among them a 20% operational efficiency. This study suggests that companies should invest in supply chain resilience, real-time tracking and flexible manufacturing as this will enable the enterprise to handle future disruptions. The future research should investigate how artificial intelligence and data analytics can be used to create more adaptive and resilient supply chains and analyse the long-term consequences of the pandemic on supply chain strategies in different industries.