Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
---|---|---|
Article Number | 05004 | |
Number of page(s) | 10 | |
Section | Economic and Social Effects | |
DOI | https://doi.org/10.1051/e3sconf/202340905004 | |
Published online | 01 August 2023 |
Research on the Influencing Factors of Panic Buying Under Public Health Emergencies
– Take the COVID-19 as an Example
Business School, Sichuan University, Chengdu, 610065, People’s Republic of China
* e-mail: y1587999687@163.com
The COVID-19 outbreak in early 2020 not only had a significant impact on China at the macro level, but also triggered changes in public psychology and irrational behavior at the individual level, one of the typical features of which was the panic buying behavior exhibited by residents during the outbreak. Based on Perceived Risk theory, emotion infection theory and information processing theory, this paper investigates the influence of herd mentality on panic buying behavior and the mediating role of Perceived Risk and information overload, and validates the model by collecting data from 326 residents through a questionnaire. The results show that herding mentality, Perceived Risk, and information overload all have positive effects on panic buying; Perceived Risk and information overload partially mediate the effect between herding mentality and panic buying, and information overload carries more mediating effects. These results suggest that higher levels of herding, Perceived Risk, and information overload can intensify individuals’ panic buying and cause further irrational buying behavior. In response to the findings, this paper also proposes countermeasures to deal with panic buying from three aspects: individuals, media, and government.
Key words: COVID-19 / Consumer behavior / Empirical studies
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.