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Author:

Xia, Runcheng (Xia, Runcheng.) | Dong, Xuefan (Dong, Xuefan.) | An, Jiajun (An, Jiajun.) | Wang, Handi (Wang, Handi.)

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.

Keyword:

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

Author Community:

  • [ 1 ] [Xia, Runcheng]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Dong, Xuefan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [An, Jiajun]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Wang, Handi]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 5 ] [Dong, Xuefan]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Dong, Xuefan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China;;[Dong, Xuefan]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China;;

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Related Keywords:

Source :

ELECTRONIC COMMERCE RESEARCH

ISSN: 1389-5753

Year: 2024

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

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