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At what lag should economic indicators be applied to predict sales in a transformed economy? Is it worthwhile when e-tailing?

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F22%3AA0000349" target="_blank" >RIV/47813059:19520/22:A0000349 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ojs.wsb.edu.pl/index.php/fso/article/view/621/330" target="_blank" >https://ojs.wsb.edu.pl/index.php/fso/article/view/621/330</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23762/FSO_VOL10_NO4_2" target="_blank" >10.23762/FSO_VOL10_NO4_2</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    At what lag should economic indicators be applied to predict sales in a transformed economy? Is it worthwhile when e-tailing?

  • Popis výsledku v původním jazyce

    Making strategic decisions in retailing is associated with an-alysing sales development, which can indicate the current trends in consumer demand. Determining retail sales indi-cators is a valuable step towards better prediction and helps to make strategic decisions more realistic. However, the ques-tion is to what extent the general assumption of profitability of using retail sales indicators can be applied in the case of a transformed economy. This paper aims to provide informa-tion on the possibility of using selected economic indicators to predict sales in the environment of a transformed economy. The paper analyses the joint time series development of retail sales in the Czech Republic. The Johansen cointegration test has been performed to determine whether retail sales show long-term cointegration with the set of selected indicators. The results establish GDP, total employment, gross wage, and consumer data as leading indicators of retail sales at different levels of delays. In contrast, in the case of online retail sales, no significant influence of the observed factors has been found. The findings suggest that if managers choose to plan their online retail processes based on retail sales estimates, they must respond to changes in these indicators much faster than managers in off line environments.

  • Název v anglickém jazyce

    At what lag should economic indicators be applied to predict sales in a transformed economy? Is it worthwhile when e-tailing?

  • Popis výsledku anglicky

    Making strategic decisions in retailing is associated with an-alysing sales development, which can indicate the current trends in consumer demand. Determining retail sales indi-cators is a valuable step towards better prediction and helps to make strategic decisions more realistic. However, the ques-tion is to what extent the general assumption of profitability of using retail sales indicators can be applied in the case of a transformed economy. This paper aims to provide informa-tion on the possibility of using selected economic indicators to predict sales in the environment of a transformed economy. The paper analyses the joint time series development of retail sales in the Czech Republic. The Johansen cointegration test has been performed to determine whether retail sales show long-term cointegration with the set of selected indicators. The results establish GDP, total employment, gross wage, and consumer data as leading indicators of retail sales at different levels of delays. In contrast, in the case of online retail sales, no significant influence of the observed factors has been found. The findings suggest that if managers choose to plan their online retail processes based on retail sales estimates, they must respond to changes in these indicators much faster than managers in off line environments.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    50202 - Applied Economics, Econometrics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Forum Scientiae Oeconomia

  • ISSN

    2300-5947

  • e-ISSN

    2353-4435

  • Svazek periodika

    roč. 10

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    PL - Polská republika

  • Počet stran výsledku

    18

  • Strana od-do

    29-46

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-21101040211