D 2022

USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES

PETŘÍČEK, Martin a Štěpán CHALUPA

Základní údaje

Originální název

USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES

Název anglicky

USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES

Autoři

PETŘÍČEK, Martin a Štěpán CHALUPA

Vydání

Prague, 10 th INTERNATIONAL CONFERENCE PROCEEDINGS CURRENT TRENDS IN SPA, HOSPITALITY AND TOURISM, od s. 210-219, 10 s. 2022

Nakladatel

Institute of Hospitality Management and Economics

Další údaje

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Organizační jednotka

University College Prague – Vysoká škola mezinárodních vztahů a Vysoká škola hotelová a ekonomická s.r.o.

ISBN

978-80-7632-076-5

Klíčová slova anglicky

Hotel, Optimization, Prediction, SARIMA model

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 26. 10. 2022 10:08, doc. Ing. Martin Petříček, Ph.D.

Anotace

ORIG EN

V originále

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.

Anglicky

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.
Zobrazeno: 10. 11. 2024 03:55