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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Name of the periodical

Forum Scientiae Oeconomia

ISSN

2300-5947

e-ISSN

2353-4435

Volume of the periodical

roč. 10

Issue of the periodical within the volume

4

Country of publishing house

PL - POLAND

Number of pages

18

Pages from-to

29-46

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-21101040211