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Author:

Xia, R. (Xia, R..) | Dong, X. (Dong, X..) | An, J. (An, J..) | Wang, H. (Wang, H..)

Indexed by:

SSCI Scopus

Abstract:

This research examines the impact of fake reviews on consumer satisfaction within the e-commerce domain, using a dataset from JD.com to develop three statistical models. The analysis reveals that although fake reviews initially boost product evaluations, consumers eventually recognize the falsehoods, leading to diminished satisfaction and trust in the e-commerce platform. The study highlights the critical importance of differentiating between genuine and counterfeit reviews, employing an LSTM model to enhance accuracy, and underscores the negative effects of fake reviews on consumer perceptions and the integrity of e-commerce. The findings suggest a need for stringent governance of online reviews to preserve a healthy digital marketplace, safeguard consumer interests, and ensure the authenticity of customer feedback. Offering valuable insights into addressing the challenges posed by fake reviews, this research emphasizes their adverse effects on customer satisfaction and trust in e-commerce. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

Keyword:

Empirical study Customer satisfaction Online reviews E-commerce platforms Fake reviews

Author Community:

  • [ 1 ] [Xia R.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Dong X.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Dong X.]Research Base of Beijing Modern Manufacturing Development, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [An J.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wang H.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China

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Source :

Electronic Commerce Research

ISSN: 1389-5753

Year: 2024

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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