.png){kind=icon}
返回
Destination Image Analytics Through Traveller-Generated Content
.png){kind=icon}
OA
AI
DOI：10.3390/su11123392.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The explosion of content generated by users, in parallel with the spectacular growth of social media and the proliferation of mobile devices, is causing a paradigm shift in research. Surveys or interviews are no longer necessary to obtain users' opinions, because researchers can get this information freely on social media. In the field of tourism, online travel reviews (OTRs) hosted on travel-related websites stand out. The objective of this article is to demonstrate the usefulness of OTRs to analyse the image of a tourist destination. For this, a theoretical and methodological framework is defined, as well as metrics that allow for measuring different aspects (designative, appraisive and prescriptive) of the tourist image. The model is applied to the region of Attica (Greece) through a random sample of 300,000 TripAdvisor OTRs about attractions, activities, restaurants and hotels written in English between 2013 and 2018. The results show trends, preferences, assessments, and opinions from the demand side, which can be useful for destination managers in optimising the distribution of available resources and promoting sustainability.
Keyword:
destination image
user-generated content
online travel review
big data analytics
opinion mining
sentiment analysis
resource optimisation
place sustainability
TripAdvisor
Greek Attica
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
10.7W
被引数:
28.4W
机构
引用论文
Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model.png)
SUSTAINABILITYOAAI
SUSTAINABILITYIF3.3
OAAI分享收藏THE RELATIONSHIPS OF DESTINATION IMAGE, SATISFACTION, AND BEHAVIORAL INTENTIONS: AN INTEGRATED MODEL
PREAI
分享收藏
查看更多内容