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Consumer Reviews and Actual Purchase Behavior in E-Commerce : Linear and Nonlinear Effects

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제36권 제1호 (2026.03)바로가기
  • 페이지
    pp.20-44
  • 저자
    Jae-Ik Ahn, Ye-na Kim, Seo-Hyeon Lee, Jong-Yeon Lee, Hyo-Min Lee, Won-Jin Lee, Gyoo-Gun Lim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A482749

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원문정보

초록

영어
The rapid expansion of e-commerce has intensified the significance of online reviews as key informational cues that help mitigate uncertainty in digital transactions. Although prior research has widely explored the role of reviews, relatively few studies have addressed how their quantitative attributes function across different product contexts. This study investigates the impact of positive and negative reviews on consumer purchase behavior, emphasizing a comparison between absolute review counts and proportional measures, and assessing whether these effects differ for search versus experience goods. Drawing on purchase data from a leading South Korean e-commerce platform, both linear and threshold regression models were applied to capture potential nonlinearities. The findings reveal that negative reviews exert a considerably stronger influence on purchase behavior than positive reviews, consistent with Prospect Theory and the concept of negativity bias. Furthermore, absolute review volume showed significant effects, whereas proportional indicators were not statistically meaningful, suggesting that consumers react more strongly to the number of reviews rather than their relative distribution. Product category also moderated these relationships, with review counts having greater impact for search goods than for experience goods. Threshold regression highlighted nonlinear patterns, such as diminishing returns from positive reviews and heightened deterrent effects of negative reviews when their volume is low. Overall, this study extends electronic word-of-mouth research by integrating volume, asymmetry, and product heterogeneity into a unified framework, while offering practical guidance for improving review management and consumer trust in digital marketplaces.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
2.1. The Function and Impact of Online Reviews
2.2. Divergent Responses by Product Type
Ⅲ. Research Model and Hypotheses
3.1. Research Model
3.2. Hypothesis
Ⅳ. Research Methodology
4.1. Data
4.2. Methodology
Ⅴ. Empirical Analysis
Ⅵ. Discussion
6.1. Theoretical Implications
6.2. Practical Implications
6.3. Limitations
6.4. Future Research Directions


키워드

Consumer Behavior E-Commerce Online Review Purchase Intention Threshold Regression

저자

  • Jae-Ik Ahn [ Postdoctoral Research Fellow, School of Business, Hanyang University, Korea ]
  • Ye-na Kim [ Undergraduate Student, School of Business, Hanyang University, Korea ]
  • Seo-Hyeon Lee [ Undergraduate Student, School of Business, Hanyang University, Korea ]
  • Jong-Yeon Lee [ Undergraduate Student, School of Business, Hanyang University, Korea ]
  • Hyo-Min Lee [ Undergraduate Student, School of Business, Hanyang University, Korea ]
  • Won-Jin Lee [ M.S. Student, School of Business, Hanyang University, Korea ]
  • Gyoo-Gun Lim [ Professor, School of Business, Hanyang University, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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