Innovative knowledge-based system for forecasting daily hotel operations amid external events using multi-source data: A time-varying parameter state-space model
Forecasting hotel occupancy during external shocks is particularly challenging due to their disruptive effects. This study develops a forecasting framework that integrates multisource data using a time-varying parameter state-space model (TVP-SSM). In this framework, search engine data (SED) are use...
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| Автори: | , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2026-01-01
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| Серія: | Journal of Innovation & Knowledge |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2444569X25002033 |
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