{"title":"了解加拿大dmo采用数据驱动的决策实践","authors":"Michelle Novotny, Rachel Dodds, Philip R. Walsh","doi":"10.1007/s40558-023-00281-w","DOIUrl":null,"url":null,"abstract":"<p>With the rapid developments in ICTs in recent years, destination management organizations (DMOs) have been increasingly expected to adopt data-driven decision-making practices towards fulfilling their role as destination managers. While data-driven decision-making offers a <i>smarter</i> approach to building more sustainable and competitive destinations, there remains a limited understanding surrounding its adoption in practice. Therefore, this study applied a mixed methods approach in efforts to identify the existing practices and barriers facing DMOs at each phase of Athamena and Houhamdi’s (2018) model of the data-driven decision-making process. The findings suggest that Canadian DMOs have been slow to engage in data-driven decision-making practices. Specifically, there remains a need to address the lack of data related to sustainability indicators, the quality of data sources, and the resource limitations faced by DMOs. Theoretical and practical implications are discussed.</p>","PeriodicalId":46275,"journal":{"name":"Information Technology & Tourism","volume":null,"pages":null},"PeriodicalIF":6.3000,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the adoption of data-driven decision-making practices among Canadian DMOs\",\"authors\":\"Michelle Novotny, Rachel Dodds, Philip R. Walsh\",\"doi\":\"10.1007/s40558-023-00281-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>With the rapid developments in ICTs in recent years, destination management organizations (DMOs) have been increasingly expected to adopt data-driven decision-making practices towards fulfilling their role as destination managers. While data-driven decision-making offers a <i>smarter</i> approach to building more sustainable and competitive destinations, there remains a limited understanding surrounding its adoption in practice. Therefore, this study applied a mixed methods approach in efforts to identify the existing practices and barriers facing DMOs at each phase of Athamena and Houhamdi’s (2018) model of the data-driven decision-making process. The findings suggest that Canadian DMOs have been slow to engage in data-driven decision-making practices. Specifically, there remains a need to address the lack of data related to sustainability indicators, the quality of data sources, and the resource limitations faced by DMOs. Theoretical and practical implications are discussed.</p>\",\"PeriodicalId\":46275,\"journal\":{\"name\":\"Information Technology & Tourism\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2023-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Technology & Tourism\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s40558-023-00281-w\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Technology & Tourism","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s40558-023-00281-w","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
Understanding the adoption of data-driven decision-making practices among Canadian DMOs
With the rapid developments in ICTs in recent years, destination management organizations (DMOs) have been increasingly expected to adopt data-driven decision-making practices towards fulfilling their role as destination managers. While data-driven decision-making offers a smarter approach to building more sustainable and competitive destinations, there remains a limited understanding surrounding its adoption in practice. Therefore, this study applied a mixed methods approach in efforts to identify the existing practices and barriers facing DMOs at each phase of Athamena and Houhamdi’s (2018) model of the data-driven decision-making process. The findings suggest that Canadian DMOs have been slow to engage in data-driven decision-making practices. Specifically, there remains a need to address the lack of data related to sustainability indicators, the quality of data sources, and the resource limitations faced by DMOs. Theoretical and practical implications are discussed.
期刊介绍:
Information Technology & Tourism stands as the pioneer interdisciplinary journal dedicated to exploring the essence and impact of digital technology in tourism, travel, and hospitality. It delves into challenges emerging at the crossroads of IT and the domains of tourism, travel, and hospitality, embracing perspectives from both technical and social sciences. The journal covers a broad spectrum of topics, including but not limited to the development, adoption, use, management, and governance of digital technology. It supports both theory-focused research and studies with direct relevance to the industry.