EAI Endorsed Transactions on Creative Technologies https://publications.eai.eu/index.php/ct <p>EAI Endorsed Transactions on Creative Technologies is open access, a peer-reviewed scholarly journal focused on a whole industrial project or framework integrating creative technologies, creative content management, and more. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a quarterly frequency (four issues per year). Authors are not charged for article submission and processing.</p> en-US <p>This is an open-access article distributed under the terms of the Creative Commons Attribution <a href="https://creativecommons.org/licenses/by/3.0/" target="_blank" rel="noopener">CC BY 3.0</a> license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.</p> publications@eai.eu (EAI Publications Department) publications@eai.eu (EAI Support) Fri, 13 Jan 2023 00:00:00 +0000 OJS http://blogs.law.harvard.edu/tech/rss 60 A Review of the Methods and Techniques Used in Tourism Demand Forecasting https://publications.eai.eu/index.php/ct/article/view/2986 <p>The purpose of this paper is to discuss the methodology and results of researchers who conducted a study concerning the forecasting of tourism demand. In more detail, this study aims to examine and assess various studies about search engines, web traffic data, and social media data, specifically. Using an extensive database of indexed articles, we conducted the review with the goal of providing a solid understanding of the literature. The findings of our study revealed that few researchers integrate different data sources when forecasting tourism demand. Therefore, the authors of this paper decided to conduct a systematic review to provide researchers with a comprehensive overview of the importance of such data. This paper may inspire Omani researchers to undertake similar research based on its findings, which is currently lacking. Thus, this paper will improve understanding of how data sources affect forecasting accuracy and how modern technologies can support economic growth.</p> R. Shakir Al Jassim, Karan Jetly, Ahmad Abushakra, Sh Al Mansori Copyright (c) 2023 R. Shakir Al Jassim, Karan Jetly, Ahmad Abushakra, Sh Al Mansori https://creativecommons.org/licenses/by/3.0/ https://publications.eai.eu/index.php/ct/article/view/2986 Fri, 13 Jan 2023 00:00:00 +0000