Using social network and semantic analysis to analyze online travel forums and forecast tourism demand-Reference-Cited by-同舟云学术

Using social network and semantic analysis to analyze online travel forums and forecast tourism demand

Published:2019-08 Issue: Volume:123 Page:113075
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Fronzetti Colladon Andrea^ORCID,Guardabascio Barbara,Innarella Rosy

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference92 articles.

1. Towards a taxonomy of tourism products;McKercher;Tourism Management,2016

2. Inside the sharing economy: understanding consumer motivations behind the adoption of mobile applications;Zhu;International Journal of Contemporary Hospitality Management,2017

3. Information technology and consumer behavior in travel and tourism: insights from travel planning using the internet;Xiang;Journal of Retailing and Consumer Services,2015

4. Information technology applications in hospitality and tourism: a review of publications from 2005 to 2007;Law;Journal of Travel and Tourism Marketing,2009

5. The concept of smart tourism in the context of tourism information services;Li;Tourism Management,2017

Cited by 89 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. User-generated photos in hotel demand forecasting;Annals of Tourism Research;2024-09

2. Spatiotemporal characteristics and influencing factors of network attention to resort hotels in China;Heliyon;2024-08

3. Predicting digital product performance with team composition features derived from a graph network;Decision Support Systems;2024-08

4. Public network attention to hiking in China and its influencing factors;PLOS ONE;2024-07-11

5. Seniors constraints to travel: analysing discussions on TripAdvisor;Current Issues in Tourism;2024-07-04