1,250
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Determinants of online shopping addiction among Vietnamese university students

&
Pages 402-414 | Published online: 22 Apr 2021
 

ABSTRACT

Online shopping addiction, which refers to the inability to take an individual’s online shopping urges under control has attracted a great deal of research interest over the last decade, given the prevalence of internet technologies and the advent of data-driven marketing strategies in e-commerce. The current study sought to examine the determining factors that can potentially result in online shopping addiction among Vietnamese university students. We found a strong correlation presented between daily online shopping frequency and daily internet shopping usage. Results from the hierarchical analysis indicate that internet experience has a significant negative effect on online shopping addiction. Besides, time spent on internet shopping per day and daily internet shopping frequency has the significant effect on the score of online shopping addiction. Students are recommended to manage their online routine wisely and efficiently to avoid detrimental consequences resulted from online shopping addiction.

Acknowledgments

The authors are grateful to all anonymous participants for their help with data collection.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 208.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.