2022
USE OF ALGORITHM IN THE PREDICTION OF QUANTITY DEMANDED IN THE ACCOMMODATION SERVICES
PETŘÍČEK, Martin a Štěpán CHALUPAZákladní 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.
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.