{"title":"Research on campus logistics performance intelligent evaluation based on Fuzzy Kano model and IPA analysis","authors":"Yi Cao","doi":"10.1145/3558819.3565075","DOIUrl":null,"url":null,"abstract":"In order to solve the problems of low user satisfaction and high customer complaint rate in campus logistics service, a campus logistics improvement model based on Fuzzy Kano model and IPA analysis is constructed to determine the improvement weight of campus logistics service quality elements. Through empirical research, users' satisfaction and perceived importance of campus logistics service quality elements are obtained, and the optimal solution is obtained, It verifies the feasibility and effectiveness of the model, and provides practical guidance for improving the elements of campus logistics service quality.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3558819.3565075","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
In order to solve the problems of low user satisfaction and high customer complaint rate in campus logistics service, a campus logistics improvement model based on Fuzzy Kano model and IPA analysis is constructed to determine the improvement weight of campus logistics service quality elements. Through empirical research, users' satisfaction and perceived importance of campus logistics service quality elements are obtained, and the optimal solution is obtained, It verifies the feasibility and effectiveness of the model, and provides practical guidance for improving the elements of campus logistics service quality.
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