检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:赵辉[1] ZHAO Hui(Guangdong Songshan Polytechnic,Shaoguan Guangdong 512126,China)
出 处:《信息与电脑》2025年第1期59-61,共3页Information & Computer
基 金:广东松山职业技术学院2022年度校级科研项目(项目编号:No.2022KJYB13);广东省哲学社会科学规划2024年度学科共建项目(项目编号:No.GD24XJY14);2024年广东省普通高校特色创新类项目(项目编号:NO.2024KTSCX334)。
摘 要:在全球贸易数字化进程加速的背景下,农产品跨境电商迎来了广阔的发展空间,但也面临着诸多挑战。文章深入探讨了大数据技术在农产品跨境电商运营中的应用,借助数据驱动的风险评估与预警机制,有效应对汇率波动、政策法规变化等跨境贸易风险。通过翔实的案例分析与理论阐述,文章揭示了大数据技术如何全方位提高农产品跨境电商的运营效率及增强其竞争力,为农产品跨境电商行业的可持续发展提供了有力支撑与借鉴。Against the background of accelerating global trade digitization,cross-border e-commerce of agricultural products has ushered in a broad space for development,but also faces many challenges.The article discusses in depth the application of big data technology in cross-border e-commerce operation of agricultural products,with the help of data-driven risk assessment and early warning mechanism,to effectively deal with cross-border trade risks such as exchange rate fluctuations and changes in policies and regulations.Through detailed case studies and theoretical elaboration,the article reveals how big data technology can improve the operational efficiency and enhance the competitiveness of agricultural cross-border e-commerce in a comprehensive way,which provides strong support and reference for the sustainable development of agricultural cross-border e-commerce industry.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222