{"title":"大数据知识转移对智慧旅游目的地共创价值和竞争优势的影响研究","authors":"N. Bu, Zihan Yin, Jay Barry, Haiyan Kong","doi":"10.1145/3424978.3425006","DOIUrl":null,"url":null,"abstract":"Big data analysis used for smart tourism destinations has become a new trend in the increasing demand for tourism. However, relevant research on this problem is limited. This paper reports a literature review, in-depth interviews, and content analysis about tourism destinations and tourists. This study aims to discuss how knowledge transfer based on big data promotes the value of tourists and the competitive advantages of smart tourism destinations through value co-creation between them. An influencing model is explored to reflect such an interactive process. This study also makes some contributions to tourism destinations.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on the Influence of Big Data Knowledge Transfer on Value of Co-creation and Competitive Advantage of Smart Tourism Destinations\",\"authors\":\"N. Bu, Zihan Yin, Jay Barry, Haiyan Kong\",\"doi\":\"10.1145/3424978.3425006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data analysis used for smart tourism destinations has become a new trend in the increasing demand for tourism. However, relevant research on this problem is limited. This paper reports a literature review, in-depth interviews, and content analysis about tourism destinations and tourists. This study aims to discuss how knowledge transfer based on big data promotes the value of tourists and the competitive advantages of smart tourism destinations through value co-creation between them. An influencing model is explored to reflect such an interactive process. This study also makes some contributions to tourism destinations.\",\"PeriodicalId\":178822,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3424978.3425006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424978.3425006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Influence of Big Data Knowledge Transfer on Value of Co-creation and Competitive Advantage of Smart Tourism Destinations
Big data analysis used for smart tourism destinations has become a new trend in the increasing demand for tourism. However, relevant research on this problem is limited. This paper reports a literature review, in-depth interviews, and content analysis about tourism destinations and tourists. This study aims to discuss how knowledge transfer based on big data promotes the value of tourists and the competitive advantages of smart tourism destinations through value co-creation between them. An influencing model is explored to reflect such an interactive process. This study also makes some contributions to tourism destinations.