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A multilevel analysis of factors influencing the helpfulness of online reviews : Culture, corporate, and review characteristics

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2021 한국경영정보학회 춘계통합학술대회 (2021.06) 바로가기
  • 페이지
    pp.207-212
  • 저자
    JungWon Lee, Cheol Park
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A395390

원문정보

초록

영어
We investigated the effect of review, reviewer, and corporate factor on review helpfulness and the role of the cultural dimension in moderating these relationships. The research model was built upon the theoretical basis of the elaboration likelihood model and information adoption model. To empirically analyze our research model, 10,611 TripAdvisor review data from 9 countries were collected. In addition, the zero-inflated negative binomial model and multilevel analysis were performed in consideration of the data characteristics and level differences. The results show that review depth has a positive effect on review helpfulness, and review ratings and reviewer expertise have a negative effect. As corporate factors, hotel size has a negative effect on review helpfulness. In addition, review ratings, reviewer expertise, and hotel rating show significant differences in the moderating effects of the tendency to uncertainty avoidance and power distance level.

목차

Abstract
Introduction
Theoretical Background
Information Processing Model
Review Helpfulness
Corporate Factor and Review Helpfulness
Cultural Differences
Research Model and Hypotheses
Methods
Data
Measurement
Model
Results
Conclusions
References

저자

  • JungWon Lee [ Ph. D. Candidate, Department of Corporate Management, Korea University, Sejong, South Korea ]
  • Cheol Park [ Professor, College of Global Business, Korea University, Sejong, South Korea ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658