{"title":"Big Data and Cloud Computing-Integrated Tourism Decision-Making in Smart Logistics Technologies","authors":"Man Lan","doi":"10.4018/ijec.316880","DOIUrl":null,"url":null,"abstract":"Since technology allows tourist companies to replace expensive human labor with electronic labor, labor expenses are reduced, yet customer service concerns are often avoided. Companies and organizations face new challenges daily. Increased consumer demands and global competition result in significant adjustments in the industrialized world. On the other hand, technology can bring forth entirely new types of unintended effects. There are new prospects for the tourist sector with the rise of big data. Data mining and cloud computing are widely used in the tourist sector to extract useful information from vast quantities of data. A new tourism marketing management model based on big data can be developed with this function. This research thus presents a big data and cloud computing-integrated tourism decision-making (BC2TDM) paradigm to analyze the behavior of travel consumers. This model uses the deep learning model to forecast the travel consumer behavior to ensure a personalized tourism experience.","PeriodicalId":46330,"journal":{"name":"International Journal of e-Collaboration","volume":"1 1","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of e-Collaboration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijec.316880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Since technology allows tourist companies to replace expensive human labor with electronic labor, labor expenses are reduced, yet customer service concerns are often avoided. Companies and organizations face new challenges daily. Increased consumer demands and global competition result in significant adjustments in the industrialized world. On the other hand, technology can bring forth entirely new types of unintended effects. There are new prospects for the tourist sector with the rise of big data. Data mining and cloud computing are widely used in the tourist sector to extract useful information from vast quantities of data. A new tourism marketing management model based on big data can be developed with this function. This research thus presents a big data and cloud computing-integrated tourism decision-making (BC2TDM) paradigm to analyze the behavior of travel consumers. This model uses the deep learning model to forecast the travel consumer behavior to ensure a personalized tourism experience.
期刊介绍:
The International Journal of e-Collaboration (IJeC) addresses the design and implementation of e-collaboration technologies, assesses its behavioral impact on individuals and groups, and presents theoretical considerations on links between the use of e-collaboration technologies and behavioral patterns. An innovative collection of the latest research findings, this journal covers significant topics such as Web-based chat tools, Web-based asynchronous conferencing tools, e-mail, listservs, collaborative writing tools, group decision support systems, teleconferencing suites, workflow automation systems, and document management technologies.