{"title":"跨境电商物流服务质量评价:基于数字购物市场的多层框架分析","authors":"S. Huang, I-Hsuan Su, Wei-Chi Lee, Tz-Heng Lin","doi":"10.1109/CACS47674.2019.9024358","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to improve logistics service quality of cross border e-commerce business. Cross border e-commerce is one of the most important industries for capturing fast growing digital consuming market. Famous Asian e-commerce giants such as Alibaba from China and Softbank from Japan also adopted aggressive market expansion strategies, and these global competitors deeply push lots of pressure on Taiwan’s e-commerce operators. To stay competitive in this market, excellent logistics service quality is indispensable for supporting the e-commerce business development for satisfying online shoppers. Therefore, this paper applies multilayer QFD method to evaluate logistics service quality of cross border e-commerce operator. The theoretical contribution of this project is to modify classic QFD framework by using sophisticated multilayer analysis method. Multilayer QFD framework may improve this shortcoming by evaluating the requirements from both service provider side (logistics service provider) and customer side (online shopper). The logistics service quality solutions based on the technical measures may be more precise under multilayer QFD framework. The result of this paper will provide insights and implication for e-commerce operator, logistics provider and platform operators with solutions to improve service quality.","PeriodicalId":247039,"journal":{"name":"2019 International Automatic Control Conference (CACS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Logistics service quality evaluation of cross border e-commerce operators: a multilayer framework analysis in digital shopping market\",\"authors\":\"S. Huang, I-Hsuan Su, Wei-Chi Lee, Tz-Heng Lin\",\"doi\":\"10.1109/CACS47674.2019.9024358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to improve logistics service quality of cross border e-commerce business. Cross border e-commerce is one of the most important industries for capturing fast growing digital consuming market. Famous Asian e-commerce giants such as Alibaba from China and Softbank from Japan also adopted aggressive market expansion strategies, and these global competitors deeply push lots of pressure on Taiwan’s e-commerce operators. To stay competitive in this market, excellent logistics service quality is indispensable for supporting the e-commerce business development for satisfying online shoppers. Therefore, this paper applies multilayer QFD method to evaluate logistics service quality of cross border e-commerce operator. The theoretical contribution of this project is to modify classic QFD framework by using sophisticated multilayer analysis method. Multilayer QFD framework may improve this shortcoming by evaluating the requirements from both service provider side (logistics service provider) and customer side (online shopper). The logistics service quality solutions based on the technical measures may be more precise under multilayer QFD framework. The result of this paper will provide insights and implication for e-commerce operator, logistics provider and platform operators with solutions to improve service quality.\",\"PeriodicalId\":247039,\"journal\":{\"name\":\"2019 International Automatic Control Conference (CACS)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Automatic Control Conference (CACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACS47674.2019.9024358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Automatic Control Conference (CACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACS47674.2019.9024358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Logistics service quality evaluation of cross border e-commerce operators: a multilayer framework analysis in digital shopping market
The aim of this paper is to improve logistics service quality of cross border e-commerce business. Cross border e-commerce is one of the most important industries for capturing fast growing digital consuming market. Famous Asian e-commerce giants such as Alibaba from China and Softbank from Japan also adopted aggressive market expansion strategies, and these global competitors deeply push lots of pressure on Taiwan’s e-commerce operators. To stay competitive in this market, excellent logistics service quality is indispensable for supporting the e-commerce business development for satisfying online shoppers. Therefore, this paper applies multilayer QFD method to evaluate logistics service quality of cross border e-commerce operator. The theoretical contribution of this project is to modify classic QFD framework by using sophisticated multilayer analysis method. Multilayer QFD framework may improve this shortcoming by evaluating the requirements from both service provider side (logistics service provider) and customer side (online shopper). The logistics service quality solutions based on the technical measures may be more precise under multilayer QFD framework. The result of this paper will provide insights and implication for e-commerce operator, logistics provider and platform operators with solutions to improve service quality.