Asia-Pacific Journal of Business Venturing and Entrepreneurship (벤처창업연구)

The Korean Society of Business Venturing (한국벤처창업학회)
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The Effect of Accumulation of Product Review Information on the Rating of Online Shopping Mall Products

구매후기 정보 누적이 온라인 쇼핑몰 제품의 평점에 미치는 영향

  • Lee, Sueng-yong (College of General Education, Namseoul University)
  • 이승용 (남서울대학교 교양대학)
  • Received : 2024.05.08
  • Accepted : 2024.08.25
  • Published : 2024.08.31
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Abstract

This study derived an effective way to expose information on product reviews by analyzing how the accumulation of information on reviews of online shopping malls, which are receiving a lot of attention amid the rapid increase in non-face-to-face transactions with small and medium-sized venture companies with insufficient resources, affects product review ratings. Hypotheses were derived based on the main theory of behavioral economics and the theory of consumer expectation inconsistency, and for empirical research, the effect of the accumulation of information on product reviews were analyzed from a short and long-term perspective using Amazon's product reviews and seller information big data. For the empirical study, 9,092,480 reviews written for 378,411 products of Amazon were used, and the hypotheses were verified through hierarchical regression analysis. As a result of the analysis, it was found that the average rating decreased as the number of reviews increased. It was found that the product with a large number of recent reviews had a high rating. The characteristics of the product showed a moderating effect on these effects. This study will provide a new theoretical basis for research related to product review, and will help small and medium-sized venture companies that focus on sales through online shopping malls due to lack of resources to increase sales performance by appropriately utilizing review information. It will also provide empirical insights into effective product review information exposure measures for online shopping mall managers.

본 연구는 자원이 부족한 중소벤처기업과 비대면 거래의 급격한 증가 속에 많은 관심을 받고 있는 온라인 쇼핑몰의 구매후기 정보 누적이 제품 구매후기의 평점에 어떠한 영향을 미치는가에 대한 분석을 통하여 효과적인 구매후기 정보 노출 방안을 도출하였다. 행동경제학의 주요이론과 소비자 기대불일치 이론을 기반으로 가설을 도출하였고, 실증연구를 위하여 대표적인 온라인 쇼핑몰인 Amazon의 구매후기와 판매자 정보 빅데이터를 활용하여 장단기적 관점에서 구매후기 정보 누적의 영향을 분석하였다. 실증연구를 위하여 Amazon의 378,411개 제품을 대상으로 작성된 9,092,480개의 구매후기를 활용하였고 위계적 회귀분석을 통해 가설을 검증하였다. 분석 결과 구매후기 개수가 늘어날수록 평점 평균은 낮아지는 것으로 나타났다. 최근 구매후기 개수가 많은 제품의 평점이 높은 것으로 나타났다. 제품의 특성은 이러한 영향에 조절효과를 보여주었다. 본 연구는 구매후기와 관련된 연구에 새로운 이론적 기반을 제공할 것이며, 자원의 부족 등으로 온라인 쇼핑몰을 통한 판매에 주력하는 중소벤처기업이 구매후기 정보를 적절히 활용하여 판매성과를 높이는데 도움을 줄 것이다. 또한 온라인 쇼핑몰 관리자에게도 효과적인 구매후기 정보 노출 방안에 대한 실증적 통찰력을 제공할 것이다.

Keywords

Acknowledgement

이 논문은 2023년도 남서울대학교 학술연구비 지원에 의해 연구되었음

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