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作 者:Qiang SUN
机构地区:[1]North China University of Technology
出 处:《Journal of AI-Driven Trade Facilitation Engineering and Single Window Systems》2024年第1期35-61,共27页人工智能驱动的贸易便利化工程与单一窗口系统学刊(英文)
摘 要:This paper examines the integration of blockchain technology and artificial intelligence(AI)to enhance trade facilitation.It highlights their individual contributions to efficiency and transparency,explores their theoretical foundations,and identifies synergistic benefits such as improved data quality,enhanced trust,and optimized decision-making.Key challenges,including technical,legal,and organizational barriers,are discussed.Real-world case stud-ies illustrate practical outcomes and implications for stakeholders.The study concludes with policy recommendations and future research directions,emphasizing the potential trans-formative impact on global trade models and a more efficient,transparent,and inclusive trade ecosystem.
关 键 词:Blockchain Artifcial Inelligence Trade Facilitation Supply Chain Management Smart Contracts Data Integration Interoperability Trade Transparency International Trade .Technological Innovation
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