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