Abstract
The fast development of Information and Communication Technology, generate, collect and operate a large amount of data, which is termed big data. The search queries in web search engines can be retrieved by visitors to obtain useful infor-mation for the selected next visiting destinations. Google Trends on Google search engine can evaluate and compare how many times users are searching for specific terms or topics. Otherwise, economic factors, covering income, the rela-tive prices, and relative exchange rate usually influence the international tourist demand. However, there are different conclusions in different settings. Accord-ingly, this work presents the ARIMAX model for modelling and forecasting numbers of international tourists visiting Taiwan from Japan for different pur-poses and provides an analysis of the effects of big data and economic factors. The results can contribute to the decision makers of the tourism industry in Taiwan
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
