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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Collections - Korea University Business School > Department of Business Administration > 1. Journal Articles
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