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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Hlavní autoři:	Ji Chen, Kang Tong, Qinglin Yu, Sichao Chen, Tomas Balezentis, Dalia Streimikiene
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-01-01
Edice:	Journal of Innovation & Knowledge
Témata:	C53 L83 Z30
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2444569X25002033
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