{"title":"Integrating smart technologies and artificial intelligence to build smart tourism destination ecosystems: A model for smart destination management","authors":"Serhat Bingöl , Yang Yang","doi":"10.1016/j.tmp.2025.101380","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores how smart technologies and artificial intelligence transform destination management into smart destination management in urban destinations in the United States. Hence, primary and secondary data were collected in ten cities in the United States through qualitative research to provide multiple perspectives. The secondary data consisted of smart technologies and artificial intelligence initiatives published by Destination Management/Marketing Organizations, Departments of Transportation, and Technology Offices across these cities. The authors also interviewed professionals from these organizations, including initiative leaders, project managers, marketing specialists, and data analysts. The study revealed that these destinations have created smart technologies and artificial intelligence initiatives to transform destination management into smart destination management by developing destination ecosystems. The study proposes a smart destination model that guides destinations in adopting smart technologies and artificial intelligence initiatives to build smart destination ecosystems. The results offer conceptual, theoretical, and practical applications for enhancing destination management.</div></div>","PeriodicalId":48141,"journal":{"name":"Tourism Management Perspectives","volume":"58 ","pages":"Article 101380"},"PeriodicalIF":7.3000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management Perspectives","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211973625000455","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores how smart technologies and artificial intelligence transform destination management into smart destination management in urban destinations in the United States. Hence, primary and secondary data were collected in ten cities in the United States through qualitative research to provide multiple perspectives. The secondary data consisted of smart technologies and artificial intelligence initiatives published by Destination Management/Marketing Organizations, Departments of Transportation, and Technology Offices across these cities. The authors also interviewed professionals from these organizations, including initiative leaders, project managers, marketing specialists, and data analysts. The study revealed that these destinations have created smart technologies and artificial intelligence initiatives to transform destination management into smart destination management by developing destination ecosystems. The study proposes a smart destination model that guides destinations in adopting smart technologies and artificial intelligence initiatives to build smart destination ecosystems. The results offer conceptual, theoretical, and practical applications for enhancing destination management.
期刊介绍:
Tourism Management Perspectives is an interdisciplinary journal that focuses on the planning and management of travel and tourism. It covers topics such as tourist experiences, their consequences for communities, economies, and environments, the creation of image, the shaping of tourist experiences and perceptions, and the management of tourist organizations and destinations. The journal's editorial board consists of experienced international professionals and it shares the board with Tourism Management. The journal covers socio-cultural, technological, planning, and policy aspects of international, national, and regional tourism, as well as specific management studies. It encourages papers that introduce new research methods and critique existing ones in the context of tourism research. The journal publishes empirical research articles and high-quality review articles on important topics and emerging themes that enhance the theoretical and conceptual understanding of key areas within travel and tourism management.