Cross Border E-commerce Compliance Based on Big Data Analysis - Taking Customs Laws and Regulations as an Example
Abstract
Cross border e-commerce, as a new economic model, has received increasing attention from countries and regions. However, due to the fact that cross-border e-commerce business involves laws, regulations, and policies of numerous countries and regions, enterprises face enormous compliance risks. Meanwhile, with the development of cross-border e-commerce, traditional trade models can no longer meet the current market demand. Big data analysis, as an emerging data processing method, has broad application prospects. This article explores the application prospects of big data analysis in cross-border e-commerce by studying the compliance issues of cross-border e-commerce. Firstly, the basic principles of big data analysis were introduced, followed by the current status of cross-border e-commerce compliance and the potential hidden issues behind it. Finally, the application prospects of big data analysis in cross-border e-commerce compliance were introduced, and relevant countermeasures were proposed. Utilize the countermeasures proposed in this article to specifi cally address the legal and regulatory issues that exist in existing cross-border e-commerce.
Keywords
Big data; Artificial intelligence; Cross-border e-commerce; Network data mining
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DOI: http://dx.doi.org/10.18686/ahe.v7i18.9187
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