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The impact of customer-generated evaluation information on sales in online platform-based markets

Authors
Kim, D.Y.Kim, S.Y.
Issue Date
2022
Publisher
Elsevier Ltd
Keywords
Customer review; Customer-generated evaluation information; Online-platform based market; Star rating; Topic modeling
Citation
Journal of Retailing and Consumer Services, v.68
Indexed
SSCI
SCOPUS
Journal Title
Journal of Retailing and Consumer Services
Volume
68
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/142088
DOI
10.1016/j.jretconser.2022.103016
ISSN
0969-6989
Abstract
As the online platform-based market expands, research into the impact of consumer-accessible information in this market on performance has received significant attention in recent years. In this study, we focus on customer-generated evaluation information (CGEI). The purpose of this study is to demonstrate the effect of CGEI—both quantitative (i.e., star rating, star rating volume) and qualitative (i.e., customer review content) aspects—on actual sales in an online platform-based market. We analyze the regression of quantitative GCEI on sales and for qualitative GCEI we apply the Latent Dirichlet Allocation (LDA) topic modeling. We discover that star ratings do not always lead to increased sales, implying that star ratings and sales have an inverted U-shaped relationship. Furthermore, the results demonstrate that star rating volume has a positive effect on sales. We reveal that the review contents of product quality and added value have a positive effect on sales, whereas those of seller service have no effect on sales. This study provides some insight into how customer-generated information can increase actual sales in online platform-based markets. © 2022 Elsevier Ltd
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