{"title":"Development Analysis of Cross-Border E-Commerce Logistics Based on Big Data Technology Under Safety Law Protection","authors":"Long Wen","doi":"10.4018/ijisss.290547","DOIUrl":null,"url":null,"abstract":"To improve logistics level of cross-border e-commerce, big data technology can effectively enhance its logistics level. Firstly, difficulties existing in international logistics management and the necessity of international logistics supply chain management are discussed. Secondly, challenges and opportunities of big data technology to cross-border E-commerce are analyzed respectively. Big data logistics and its characteristics are studied in depth. The cross-border e-commerce sales forecast model is established based on GM(1,1), and the proposed model is verified based on case study, simulation results show that the prediction model can improve the prediction precision of sales amount. Finally, integration measurements of big data and cross-border E-commerce are put forward under a suitable local law protection.","PeriodicalId":151306,"journal":{"name":"Int. J. Inf. Syst. Serv. Sect.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Inf. Syst. Serv. Sect.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijisss.290547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
To improve logistics level of cross-border e-commerce, big data technology can effectively enhance its logistics level. Firstly, difficulties existing in international logistics management and the necessity of international logistics supply chain management are discussed. Secondly, challenges and opportunities of big data technology to cross-border E-commerce are analyzed respectively. Big data logistics and its characteristics are studied in depth. The cross-border e-commerce sales forecast model is established based on GM(1,1), and the proposed model is verified based on case study, simulation results show that the prediction model can improve the prediction precision of sales amount. Finally, integration measurements of big data and cross-border E-commerce are put forward under a suitable local law protection.