Book Chapter10.1079/9781800622166.0003
Visual Destination Images
15 Dec 2022
- pp 39-53
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About: The article was published on 15 Dec 2022.
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Citations
Taste of asean: traditional food images from Southeast Asian countries
Fajar Kusnadi Kusumah Putra,Mandradhitya Kusuma Putra,Selvi Novianti +2 more
TL;DR: In this paper , a qualitative approach using content analysis was used to analyze how regional tourism authorities share information about the diversity of traditional foods, promote gastronomic tourism, and enhance destinations' competitiveness by utilizing Instagram as a social media platform combining images with textual information.
References
Factors influencing destination image
Asunción Beerli,Josefa D. Martín +1 more
TL;DR: In this paper, the authors develop and empirically validate a model which explains the different factors which form the post-visit image of a destination based on a literature review, which will involve analyzing the relationship between the different components of the perceived image and the factors which influence its formation.
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The meaning and measurement of destination image.
Charlotte M. Echtner,J. R. B. Ritchie +1 more
- 22 Dec 2003
TL;DR: The unprecedented growth in the tourism industry during the last fifty years has created major challenges in tourism marketing as discussed by the authors, and as a result, tourism marketers are now faced with influencing consumer decision making in an increasingly complex and competitive global marketplace.
2.2K
Testing an integrated destination image model across residents and tourists
TL;DR: In this article, the authors examined whether the cognitive, affective and overall image of tourists in the resort city of Eilat can be used to predict behavioral intentions of local residents and tourists.
375
DMO online platforms: Image and intention to visit
TL;DR: The findings demonstrate that tourist involvement has a positive impact on cognitive image and affective image, forming the DI as an antecedent of the intention to visit, and shows that image formation and intention toVisit the destination vary depending on the platform used by travelers to access the information.
305
Analyzing destination branding and image from online sources: a web content mining approach.
TL;DR: This study presents an automated web content mining approach and demonstrates how to extract destination brand identity and image through web contentmining.
253