PETŘÍČEK, Martin and Štěpán CHALUPA. USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES. Online. In 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM. Prague: Institute of Hospitality Management and Economics, 2022, p. 210-219. ISBN 978-80-7632-076-5.
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Basic information
Original name USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
Name (in English) USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
Authors PETŘÍČEK, Martin and Štěpán CHALUPA.
Edition Prague, 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM, p. 210-219, 10 pp. 2022.
Publisher Institute of Hospitality Management and Economics
Other information
Type of outcome Proceedings paper
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
Organization unit University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
ISBN 978-80-7632-076-5
Keywords in English Hotel, Optimization, Prediction, SARIMA model
Tags International impact, Reviewed
Changed by Changed by: doc. Ing. Martin Petříček, Ph.D., učo 14750. Changed: 26/10/2022 10:08.
Abstract
Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.
Abstract (in English)
Accurate prediction is a key basis for making the proper decisions within the management of any accommodation facility. The prediction of the quantity demanded thus represents one of the basic knowledge of a solid management system. The paper focuses on discussing and presenting the possibilities of using individual prediction techniques based on time series analysis. The SARIMA models, which in their modified form provide an appropriate basis for the application, seem to be a suitable element for the needs of accommodation services. The correct setting of the input values (p, d, q) (P, D, Q) can then be solved by using the presented algorithm based on the Akaike information criterion.
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