{"title":"面向电子商务交易有效管理的流量跟踪分析模型","authors":"Sylvanus A. Ehikioya, Shenghong Lu","doi":"10.2991/ijndc.k.200515.006","DOIUrl":null,"url":null,"abstract":"Many organizations now rely on the Web to conduct business. The increasing popularity of the Internet and e-commerce makes online merchants to constantly seek tools/mechanisms that would permit them to attract new and retain old customers. To achieve these two goals, a business should know, as much as possible, about its customers. Customers are the pivot of all businesses. When businesses lack knowledge of their customers, such businesses cannot efficiently develop their marketing activities.","PeriodicalId":318936,"journal":{"name":"Int. J. Networked Distributed Comput.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Traffic Tracking Analysis Model for the Effective Management of E-commerce Transactions\",\"authors\":\"Sylvanus A. Ehikioya, Shenghong Lu\",\"doi\":\"10.2991/ijndc.k.200515.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many organizations now rely on the Web to conduct business. The increasing popularity of the Internet and e-commerce makes online merchants to constantly seek tools/mechanisms that would permit them to attract new and retain old customers. To achieve these two goals, a business should know, as much as possible, about its customers. Customers are the pivot of all businesses. When businesses lack knowledge of their customers, such businesses cannot efficiently develop their marketing activities.\",\"PeriodicalId\":318936,\"journal\":{\"name\":\"Int. J. Networked Distributed Comput.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Networked Distributed Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ijndc.k.200515.006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Networked Distributed Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ijndc.k.200515.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Traffic Tracking Analysis Model for the Effective Management of E-commerce Transactions
Many organizations now rely on the Web to conduct business. The increasing popularity of the Internet and e-commerce makes online merchants to constantly seek tools/mechanisms that would permit them to attract new and retain old customers. To achieve these two goals, a business should know, as much as possible, about its customers. Customers are the pivot of all businesses. When businesses lack knowledge of their customers, such businesses cannot efficiently develop their marketing activities.