Non-parametric analysis of COVID-19-driven online shopping behavior in Malaysia

Nurhasniza Idham Abu Hasan, Mogana Darshini Ganggayah, Siti Hasma Hajar Mat Zin, Nur Ain Izzati Abdul Razak, Nur Faezah Jamal

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The COVID-19 pandemic has resulted in a surge in online shopping in Malaysia, which has highlighted the significance of delving into the factors that affect consumers' behavior when making purchases online. A cross-sectional survey was conducted in Malaysia between 3rd December and 27th December 2021. The study aimed to examine the differences in online shopping behavior among Malaysian consumers and used the Mann-Whitney Test and Kruskal Wallis Test
for comparison when the normality assumption of the response is not normally distributed. The result demonstrates that there was a significant difference in online shopping behavior between marital status (U=5992.50, p=0.006), gender (U=5992.50, p=0.006), and different age groups (K=21.857, p=<0.001). In conclusion, the study contributes to the understanding of the characteristics of online shopping in Malaysia, including the factors that motivate consumers
to shop online and the challenges they face.
Original languageEnglish
Pages (from-to)56-65
Number of pages10
JournalMathematical Sciences and Informatics Journal
Volume4
Issue number2
Publication statusPublished - Nov 2023

Keywords

  • statistics
  • data science
  • CoVID-19

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