Preferred Forms of Online Shopping by the Youth Generation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F22%3A43921746" target="_blank" >RIV/62156489:43110/22:43921746 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.11118/ejobsat.2022.003" target="_blank" >https://doi.org/10.11118/ejobsat.2022.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/ejobsat.2022.003" target="_blank" >10.11118/ejobsat.2022.003</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Preferred Forms of Online Shopping by the Youth Generation
Popis výsledku v původním jazyce
The aim of the paper is to determine the preferred forms of online shopping and preferred device for online shopping for different product categories by the youth consumers. The research showed that the smartphone plays not only an important role in the consumer behaviour of youth consumers, but they also frequently shop using this device. The paper also identifies the situational and demographic factors affecting online shopping based on which consumer segments were created. Cluster analysis using the K-means algorithm formed consumer segments in the online market in the Czech Republic. Four segments were defined - economically decisive from a city, emotively decisive, rationally thinking from a town, economically active. The results can be purposefully used in creating recommendations for e-shops and for their marketing management.
Název v anglickém jazyce
Preferred Forms of Online Shopping by the Youth Generation
Popis výsledku anglicky
The aim of the paper is to determine the preferred forms of online shopping and preferred device for online shopping for different product categories by the youth consumers. The research showed that the smartphone plays not only an important role in the consumer behaviour of youth consumers, but they also frequently shop using this device. The paper also identifies the situational and demographic factors affecting online shopping based on which consumer segments were created. Cluster analysis using the K-means algorithm formed consumer segments in the online market in the Czech Republic. Four segments were defined - economically decisive from a city, emotively decisive, rationally thinking from a town, economically active. The results can be purposefully used in creating recommendations for e-shops and for their marketing management.
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
European Journal of Business Science and Technology
ISSN
2336-6494
e-ISSN
2694-7161
Svazek periodika
8
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
12
Strana od-do
84-95
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85137677637