{"title":"Organic destination imagery and social media: Mapping tourism dynamics across China’s Greater Bay Area cities","authors":"W. Lei, Zhaoyu Chen, Xiaolin Zhou, B. King","doi":"10.1080/19388160.2022.2047857","DOIUrl":null,"url":null,"abstract":"ABSTRACT Drawing upon Gunn’s formative concept of organic destination image this study proposes an application and extension in a contemporary regional context. Noting that the formation of destination image now emanates from tourists as well as from tourism businesses, the researchers use a prominent Chinese social media platform – the Red – to evaluate tourist/user generated content on the destination image of the ‘9 + 2’ Greater Bay Area cities in southern China (9 mainland cites plus Macao and Hong Kong SARs). The authors employed computer-aided lexical analysis on over 10,000 posts extracted from the Red. Four clusters of designative and prescriptive image are revealed. The study contributes to knowledge by applying big data analytics to study destination image from the tourist perspective (user-generated organic image), especially in a regional context. The insights offer prospective benefits to destination planners at local and regional levels by showing the merits of mobilizing tourism resources across multiple cities.","PeriodicalId":51764,"journal":{"name":"Journal of China Tourism Research","volume":"14 5","pages":"197 - 220"},"PeriodicalIF":1.3000,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of China Tourism Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19388160.2022.2047857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 2
Abstract
ABSTRACT Drawing upon Gunn’s formative concept of organic destination image this study proposes an application and extension in a contemporary regional context. Noting that the formation of destination image now emanates from tourists as well as from tourism businesses, the researchers use a prominent Chinese social media platform – the Red – to evaluate tourist/user generated content on the destination image of the ‘9 + 2’ Greater Bay Area cities in southern China (9 mainland cites plus Macao and Hong Kong SARs). The authors employed computer-aided lexical analysis on over 10,000 posts extracted from the Red. Four clusters of designative and prescriptive image are revealed. The study contributes to knowledge by applying big data analytics to study destination image from the tourist perspective (user-generated organic image), especially in a regional context. The insights offer prospective benefits to destination planners at local and regional levels by showing the merits of mobilizing tourism resources across multiple cities.
期刊介绍:
Journal of China Tourism Research (JCTR) is the official journal of the International Association of China Tourism Studies (IACTS) and is now indexed in the Emerging Sources Citation Index (ESCI)! JCTR is a truly international journal that publishes the latest research on tourism (all articles printed in English with Chinese abstracts) that relates to China and the Chinese. It provides a rich forum for exchange of fresh information and ideas among academics and practitioners; fosters and enhances cutting-edge research activities that advance the knowledge of tourism; and discusses the relevance of tourism to Chinese society. The journal encourages interdisciplinary scholarship and commentaries, aims at the highest intellectual level, and only publishes manuscripts that make significant contributions to the subject areas.