{"title":"Design of Mobile Phone Sales Decision Support System for College Students","authors":"Kuo Du, Qirui Sun, Shan-shan Zhang, Xiao-jia Wang","doi":"10.12783/dtetr/acaai2020/34215","DOIUrl":null,"url":null,"abstract":"It has been 30 years since the first mobile phone entered Chinese market in 1989. As it has changed from \"luxury\" of a few people to common consumer goods with high popularity, market competition of mobile phone sales industry is becoming increasingly fierce. College students have formed a special consumer group due to their unformed sales habits and great plasticity. They have limited consumption ability but pursue new things. Their consumption status is quite different, which is of great research value. Therefore, this study designs a marketing decision support system for college students. Starting from the mobile sales management business and combining with the decision support system, this study deeply studied the key technologies and implementation approaches of the mobile sales decision support system, including data mining, data warehouse technology and model library to help enterprises better seize the student market and gain competitive advantages.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"130 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Engineering and Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dtetr/acaai2020/34215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
It has been 30 years since the first mobile phone entered Chinese market in 1989. As it has changed from "luxury" of a few people to common consumer goods with high popularity, market competition of mobile phone sales industry is becoming increasingly fierce. College students have formed a special consumer group due to their unformed sales habits and great plasticity. They have limited consumption ability but pursue new things. Their consumption status is quite different, which is of great research value. Therefore, this study designs a marketing decision support system for college students. Starting from the mobile sales management business and combining with the decision support system, this study deeply studied the key technologies and implementation approaches of the mobile sales decision support system, including data mining, data warehouse technology and model library to help enterprises better seize the student market and gain competitive advantages.