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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25619161%3A_____%2F22%3AN0000005" target="_blank" >RIV/25619161:_____/22:N0000005 - isvavai.cz</a>

  • Result on the web

    <a href="https://ucp.cz/veda-a-vyzkum/konference-a-workshopy/2022-2/" target="_blank" >https://ucp.cz/veda-a-vyzkum/konference-a-workshopy/2022-2/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Aktuální trendy lázeňství, hotelnictví a turismu

  • ISBN

    978-80-7632-076-5

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    210-219

  • Publisher name

    UCP

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Mar 30, 2022

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article