The Value of Incorporating Review Tags into an Online Review System for User Review Generation

Lun Li, Ni Huang, Qiuju Yin, Zhijun Yan, Robert Plant, Yili Hong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Online review mining has become an important way for businesses to understand consumer preferences and product characteristics. Many online review platforms have started to incorporate the extracted information as review tags to guide future reviews. In this study, we leverage a quasi-experiment from an online health service platform to investigate the value of incorporating the review tags (extracted from prior reviews) into the online review system in user review generation. Our preliminary results show that after the provision of review tags, more reviews are provided for doctors but the length of those reviews is shorter. Notably, we also find a decrease in sentiment and an increase in novel reviews. Our findings provide actionable managerial insights for platform managers to design online review systems.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems, ICIS 2022
Subtitle of host publication"Digitization for the Next Generation"
PublisherAssociation for Information Systems
ISBN (Electronic)9781713893615
Publication statusPublished - 2022
Event43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022 - Copenhagen, Denmark
Duration: 9 Dec 202214 Dec 2022

Publication series

NameInternational Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation"

Conference

Conference43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022
Country/TerritoryDenmark
CityCopenhagen
Period9/12/2214/12/22

Keywords

  • Design of online review systems
  • construal level theory
  • review tags
  • user generation review

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