Google Trends and Baidu index data in tourism demand forecasting: a critical assessment of recent applications

The application of search query (SQ) data in tourism demand forecasting is an intriguing area of ongoing research. The present research note aims to (i) critically examine recent studies from leading tourism journals using SQ data for demand forecasting, (ii) synthesize the prevailing key problems,...

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Bibliographic Details
Main Authors: Mikulić, Josip, Baumgärtner, Regina M.
Format: Article
Published: Elsevier 2025
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Summary:The application of search query (SQ) data in tourism demand forecasting is an intriguing area of ongoing research. The present research note aims to (i) critically examine recent studies from leading tourism journals using SQ data for demand forecasting, (ii) synthesize the prevailing key problems, limitations and challenges in the studies, and (iii) provide recommendations emerging from the critical assessment of literature to help improve the quality of future SQ-data-based tourism forecasting research.