Business

Evidence of the time-varying impacts of the COVID-19 pandemic on online search activities relating to shopping products in South Korea

J. Song, K. Jung, et al.

This study by Jiam Song, Kwangmin Jung, and Jonghun Kam reveals how online shopping searches in South Korea changed during the COVID-19 pandemic. Using comprehensive analysis, they uncover strong correlations between search activities and pandemic waves, highlighting shifts in consumer behavior that can inform future preparedness.

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Abstract

This study investigates how online search activities for shopping products in South Korea changed over time during the COVID-19 pandemic. Using weekly data from NAVER DataLab Shopping Insight (NDLSI) from 2017-2021, the study used singular value decomposition (SVD) analysis to identify major trends in online search activity. Before the pandemic, the main trend was a steady increase in searches, with a secondary seasonal pattern linked to temperature. After removing these trends, the analysis revealed a strong correlation between online search activity and the various waves of COVID-19 infections. Life/health, digital/home appliance, food, and childbirth/childcare products showed the strongest association with pandemic waves. The study emphasizes the importance of understanding how social behavior changes during pandemics to better prepare for future events.

Publisher

Humanities and Social Sciences Communications

Published On

Oct 09, 2023

Authors

Jiam Song, Kwangmin Jung, Jonghun Kam

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