Analysis of E-Consumer Behavior During the COVID-19 Pandemic.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F22%3A10251992" target="_blank" >RIV/61989100:27510/22:10251992 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-78303-7_6#rightslink" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-78303-7_6#rightslink</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-78303-7_6" target="_blank" >10.1007/978-3-030-78303-7_6</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of E-Consumer Behavior During the COVID-19 Pandemic.
Original language description
The issue of the evolution of consumer behavior is the subject of research since the transition from production to product marketing as consumer preferences evolve over time. The chapter presents the results of the initial phase of a study of changes in consumer behavior caused by the COVID-19 pandemic. The aim of the study is to examine specific changes in B2C interactions of Czech and Slovak consumers during the first lockdown in 2020. The starting point for changing consumer preferences was the fact that the dominant part of consumer interactions shifted from brick-and-mortar to virtual environment, where e-commerce was a safe alternative to traditional forms of trading. The results suggest that both the supply and demand sides of the market were able to adapt to the nonstandard situation in a relatively short time. From the point of view of customer behavior, an increase in B2C interactions was recorded in both monitored markets. The dominant part of the interactions shifts to the time of the standard working week, the weekend decline in interactions was significantly below the average on both sides of the market. The presented results can contribute to the formulation of qualitative assumptions for deeper empirical research in the field. (C) 2022, Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
ISBN
978-3-030-78302-0
Number of pages of the result
20
Pages from-to
95-114
Number of pages of the book
118
Publisher name
Springer
Place of publication
Vídeň
UT code for WoS chapter
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