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Article . 2025
License: CC BY
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International Journal of Science and Research Archive
Article . 2025 . Peer-reviewed
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Meta-analysis of studies on online shopping addiction

Authors: ÇEVİK, Şeyma Nur;

Meta-analysis of studies on online shopping addiction

Abstract

With the rise of the Internet, noticeable changes in consumer behavior have occurred. In recent years, the growth of e-commerce and online shopping sites, driven by more people using the Internet, has changed how people shop. Online shopping helps individuals make decisions by providing various options. However, problems with self-control due to excessive online buying can lead to addiction, as people find it hard to resist the temptation of quick rewards. Online shopping addiction, marked by repeated and excessive purchases, is the inability to control the urge to shop online. This issue has become an important topic of research in recent years. This study aims to examine the factors that influence people's attitudes towards online shopping addiction. This article provides a thorough review of the literature on online shopping addiction and compulsive online purchasing. The study looks at articles published after 2020 using the meta-analysis method. For this research, the meta-analytic effect size analysis method has been used.

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Keywords

compulsive online buying, shopping behavior, online shopping addiction, addiction, online shopping

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green