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Version 1
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Bibliometric Insights into Balancing Efficiency and Security in Urban Supply Chains
Version 1
: Received: 9 July 2024 / Approved: 10 July 2024 / Online: 10 July 2024 (10:20:09 CEST)
How to cite: Jinor, E.; Bridgelall, R. Bibliometric Insights into Balancing Efficiency and Security in Urban Supply Chains. Preprints 2024, 2024070827. https://doi.org/10.20944/preprints202407.0827.v1 Jinor, E.; Bridgelall, R. Bibliometric Insights into Balancing Efficiency and Security in Urban Supply Chains. Preprints 2024, 2024070827. https://doi.org/10.20944/preprints202407.0827.v1
Abstract
This study examines the balancing between urban transportation security and supply chain efficiency amid global disruptions like the COVID-19 pandemic, attacks on maritime lanes, and geopolitical conflicts. The authors combine bibliometric network analysis and natural language processing (NLP) to review scholarly literature from 2017 to 2023. This approach identifies and visualizes evolving thematic trends. Findings reveal a shift towards integrating advanced technologies such as blockchain, AI, and IoT to enhance security without compromising efficiency. This study highlights the significance of integrating urban planning principles and sustainable practices to enhance transportation security and supply chain efficiency within urban environments. Actionable insights for policymakers and supply chain managers emphasize the adoption of integrated, technology-driven security solutions to foster resilient and sustainable supply chains. This research contributes to academic discourse by refining the understanding of evolving priorities in transportation security and supply chain management, offering both theoretical and practical implications for secure and efficient global supply chains.
Keywords
urban planning; environmental sustainability; transportation security; supply chain efficiency; supply chain resilience; risk management; natural language processing
Subject
Social Sciences, Transportation
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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