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Author:

Wang, Qiang (Wang, Qiang.) | Zhang, Wen (Zhang, Wen.) (Scholars:张文) | Li, Jian (Li, Jian.) | Mai, Feng (Mai, Feng.) | Ma, Zhenzhong (Ma, Zhenzhong.)

Indexed by:

SSCI EI Scopus

Abstract:

Online reviews are of great importance in supporting the purchasing decision making of online consumers. With the prospering of e-commerce, increasingly fraudulent reviews are appearing on e-commerce platforms to mislead consumers, and an increasing number of consumers are worrying about being deceived in online shopping. However, little research effort has been invested in studying the impact of review credibility perception caused by online review fraud on product sales. To fill this research gap, this paper conducts empirical research on the moderating effect of consumers' credibility perception of online reviews. Here, review credibility perception, or consumers' credibility perception of online reviews, refers to the credibility or trust that con -sumers have in the reviews they are reading. Building on dual-process theory, this paper develops two hy-potheses to understand why and how review credibility perception influence consumer decision-making behaviors. The empirical studies in this paper demonstrate that consumers' credibility perception of online re-views moderate the effect of review sentiment on product sales. This work also found that consumers' credibility perception of online reviews have a heterogeneous effect on product sales. The effect shifts the relationship between review sentiment and product sales from an inverted U-shape relationship to a monotonous positive relationship with the improvement of consumers' credibility perception of online reviews. This study has great managerial implications for platforms and vendors to improve online review management.

Keyword:

Review sentiment Moderating effect Online reviews Review credibility perception

Author Community:

  • [ 1 ] [Wang, Qiang]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang, Wen]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Jian]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Mai, Feng]Stevens Inst Technol, Sch Business, Hoboken, NJ 07030 USA
  • [ 5 ] [Ma, Zhenzhong]Univ Windsor, Odette Sch Business, Windsor, ON N9E 4Z4, Canada

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Source :

COMPUTERS IN HUMAN BEHAVIOR

ISSN: 0747-5632

Year: 2022

Volume: 133

ESI Discipline: PSYCHIATRY/PSYCHOLOGY;

ESI HC Threshold:26

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 71

ESI Highly Cited Papers on the List: 15 Unfold All

  • 2025-5
  • 2025-3
  • 2025-1
  • 2024-11
  • 2024-11
  • 2024-9
  • 2024-9
  • 2024-7
  • 2024-5
  • 2024-3
  • 2024-1
  • 2023-11
  • 2023-9
  • 2023-7
  • 2023-5

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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