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Paying Back to Good Deeds: A Text Mining Approach to Explore Don-jjul as Pro-consumption Behavioropen access

Authors
hojin choo이수현
Issue Date
Jul-2024
Publisher
한국마케팅학회
Keywords
Don-jjul; Pro-consumption behavior; Motivation; User-generated contents; LDA; Topic modeling; Sentiment analysis; In-depth interviews
Citation
Asia Marketing Journal, v.26, no.2, pp 104 - 128
Pages
25
Indexed
SCOPUS
ESCI
KCI
Journal Title
Asia Marketing Journal
Volume
26
Number
2
Start Page
104
End Page
128
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22906
DOI
10.53728/2765-6500.1632
ISSN
1598-7868
2765-6500
Abstract
More consumers are choosing pro-consumption for social change, but scholars know little about why and how consumers engage in pro-consumption behaviors. A newly emerged pro-consumption behavior called "Don-jjul,'' which appeared during the COVID-19 pandemic in South Korea, refers to compensating businesses that have engaged in altruistic actions by boosting their sales. This study used Latent Dirichlet Allocation (LDA) of topic modeling, sentiment analysis, and in-depth interviews to investigate the perceptions, motivations, and emotions regarding Don-jjul. As a result, the study revealed pro-consumers' perceptions of Don-jjul as "collective pro-consumption for contributing to social well-being.'' Don-jjul has two main motives: "supporting underdogs with difficulties'' and "compensating good businesses economically.'' We also found two ambivalent emotions evoked by Don-jjul: "respect for good business owners'' and "concerns regarding the misuse of Don-jjul.'' The results contribute to pro-consumption research for social well-being, providing business opportunities for retailers and CSR managers with a deep understanding of pro-consumers.
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