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Comparison of Demand Forecasting Methods for Global and Local Demand: The Case of Classic Literature Demand Forecasting

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F25%3A10258799" target="_blank" >RIV/61989100:27510/25:10258799 - isvavai.cz</a>

  • Result on the web

    <a href="https://ecocyb.ase.ro/nr2025_2/18_AndreaKolkova.pdf" target="_blank" >https://ecocyb.ase.ro/nr2025_2/18_AndreaKolkova.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24818/18423264/59.2.25.18" target="_blank" >10.24818/18423264/59.2.25.18</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Demand Forecasting Methods for Global and Local Demand: The Case of Classic Literature Demand Forecasting

  • Original language description

    Forecasting is an integral part of entrepreneurship. The aim of this paper is to use Google Trends data to predict the local demand for books in the Czech Republic and compare it with the global demand. The forecasting will be done with data by Google Trends and by book purchases. Both approaches will be compared. It will also be evaluated whether the use of multiple measures of accuracy will lead to different results. The methods chosen for forecasting were seasonal naive method, ARIMA and ARFIMA method, ETS method, Holt and HoltWinters method. The calculations will be completed with BATS and artificial neural network methods and Hybrid method. For the GT data, the extent to which the search-based model accurately matches the actual purchases was quantified. It is an innovative concept. From the results, it can be concluded that all methods on the data for the Czech Republic, and on both sets of data, predict demand stagnation. For the global comparison, the results are different. Furthermore, it is clear that the calculation by search I purchases data gives similar results.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Economic Computation and Economic Cybernetics Studies and Research

  • ISSN

    0424-267X

  • e-ISSN

    1842-3264

  • Volume of the periodical

    59

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    RO - ROMANIA

  • Number of pages

    16

  • Pages from-to

    294-309

  • UT code for WoS article

    001530455900018

  • EID of the result in the Scopus database

    2-s2.0-105009000450