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Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Developing a hybrid forecasting system for international hotel revenue : The case of Taiwan

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pp. 715–726Vol. 47Issue 2February 2026DOI: 10.47974/JIOS-2050XML
Received:
10 Dec 2024
Published Online:
16 Jan 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2050
Pages:
715–726

Abstract

The hotel industry has grown rapidly over the past decade, placing higher demands on managers to outperform their competitors in the industry. Planning and allocating sufficient resources to hotel operations, investments, finance and marketing requires accurate forecasts. This study proposes an approach to predict international hotel revenue in Taiwan. First, the SARIMA model is used to predict the number of occupied rooms and average room price. Next, genetic algorithm technology is used to establish an artificial intelligence neural network model for hotel revenue prediction. The hospitality industry can benefit from the suggested approach.

Keywords

Subject Classifications

62R07

References

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