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Discovering the evolution of online reviews: A bibliometric review

Author

Listed:
  • Yucheng Zhang

    (Hebei University of Technology)

  • Zhiling Wang

    (Hebei University of Technology)

  • Lin Xiao

    (Nanjing University of Aeronautics and Astronautics)

  • Lijun Wang

    (East China University of Science and Technology)

  • Pei Huang

    (University of Rochester)

Abstract

As a rapidly developing topic, online reviews have aroused great interest among researchers. Although the existing research can help to explain issues related to online reviews, the scattered and diversified nature of previous research hinders an overall understanding of this area. Based on bibliometrics, this study analyzes 3089 primary articles and 100,783 secondary articles published between 2003 and 2022. We comprehensively and objectively describe the development status of online reviews, show the evolutionary process of the knowledge structure of online reviews, and suggest research directions based on the analysis results. This article validates and expands previous literature reviews, helps scholars understand relevant knowledge about online reviews, and contributes to the development of online reviews.

Suggested Citation

  • Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    • Handle: RePEc:spr:elmark:v:33:y:2023:i:1:d:10.1007_s12525-023-00667-y
    DOI: 10.1007/s12525-023-00667-y
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    More about this item

    Keywords

    Online reviews; Bibliometrics; Science mapping; Literature review;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General

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