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Analysis on the Influence of Gender on Consumer Behavior before and after the COVID-19: Taking Consumers in Shenzhen as an Example

Published: 17 December 2021 Publication History

Abstract

Although vaccines and epidemic prevention measures have been widely adopted, COVID-19 is still spreading in some parts of the world. The epidemic has also slowly changed people's lifestyles, such as shopping. Due to the policy, people can almost only choose online shopping for a period of time. This paper studies the impact of the epidemic on people's online consumption behaviors in Shenzhen through a questionnaire survey. The following conclusions can be drawn that no matter before or after the COVID-19 Taobao, Jingdong and Pinduoduo are the top three commonly used online shopping platforms. Gender has no significant effect on the purchase of recommended products by watching the live broadcast, and gender has a significant impact on the normal online shopping period.

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  1. Analysis on the Influence of Gender on Consumer Behavior before and after the COVID-19: Taking Consumers in Shenzhen as an Example

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    cover image ACM Other conferences
    ICSLT '21: Proceedings of the 7th International Conference on e-Society, e-Learning and e-Technologies
    June 2021
    123 pages
    ISBN:9781450376846
    DOI:10.1145/3477282
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 December 2021

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    Author Tags

    1. COVID-19
    2. Gender
    3. consumer behavior

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