{"title":"Can smart tourism technology enhance destination image? The case of the 2018 Taichung World Flora Exposition","authors":"Sue-Chung Chang","doi":"10.1108/jhtt-07-2020-0182","DOIUrl":null,"url":null,"abstract":"\nPurpose\nSmart tourism technology (STT) has become prominent in the development of the tourism industry. This study aims to propose a model that integrates the cognitive–affective–behavioral model and trust transfer theory in the context of the 2018 Taichung World Flora Exposition, a mega-event.\n\n\nDesign/methodology/approach\nAn integrative model incorporating a questionnaire was used as the study framework. A total of 456 valid travel survey questionnaires were obtained.\n\n\nFindings\nThe results suggested that the antecedents (STT and perceived value [PV]) positively affected memorable tourism experience (MTE) (cognitive component). MTE positively affected destination image (DI) (affective component), and DI positively affected intentions to revisit and recommend locations (behavioral component). Finally, MTE mediated the relationships among DI, STT and PV.\n\n\nOriginality/value\nThis study contributes to the development of a theoretical framework that incorporates a MTE in the context of mega-events and smart tourism concepts. The findings can help governments and the tourism industry understand the effects of STT on tourists’ experiences, perceptions and behaviors.\n","PeriodicalId":51611,"journal":{"name":"Journal of Hospitality and Tourism Technology","volume":" ","pages":""},"PeriodicalIF":5.3000,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospitality and Tourism Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jhtt-07-2020-0182","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}
引用次数: 5
Abstract
Purpose
Smart tourism technology (STT) has become prominent in the development of the tourism industry. This study aims to propose a model that integrates the cognitive–affective–behavioral model and trust transfer theory in the context of the 2018 Taichung World Flora Exposition, a mega-event.
Design/methodology/approach
An integrative model incorporating a questionnaire was used as the study framework. A total of 456 valid travel survey questionnaires were obtained.
Findings
The results suggested that the antecedents (STT and perceived value [PV]) positively affected memorable tourism experience (MTE) (cognitive component). MTE positively affected destination image (DI) (affective component), and DI positively affected intentions to revisit and recommend locations (behavioral component). Finally, MTE mediated the relationships among DI, STT and PV.
Originality/value
This study contributes to the development of a theoretical framework that incorporates a MTE in the context of mega-events and smart tourism concepts. The findings can help governments and the tourism industry understand the effects of STT on tourists’ experiences, perceptions and behaviors.
期刊介绍:
The Journal of Hospitality and Tourism Technology is the only journal dedicated solely for research in technology and e-business in tourism and hospitality. It is a bridge between academia and industry through the intellectual exchange of ideas, trends and paradigmatic changes in the fields of hospitality, IT and e-business. It covers: -E-Marketplaces, electronic distribution channels, or e-Intermediaries -Internet or e-commerce business models -Self service technologies -E-Procurement -Social dynamics of e-communication -Relationship Development and Retention -E-governance -Security of transactions -Mobile/Wireless technologies in commerce -IT control and preparation for disaster -Virtual reality applications -Word of Mouth. -Cross-Cultural differences in IT use -GPS and Location-based services -Biometric applications -Business intelligence visualization -Radio Frequency Identification applications -Service-Oriented Architecture of business systems -Technology in New Product Development