Where to place product reviews? An information search process perspective

Meng Xiang Li*, Chuan Hoo Tan, Kwok Kee Wei, Kan Liang Wang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

9 Citations (Scopus)

Abstract

Online product reviews could be presented as expert reviews and user reviews. However, a fundamental question that is not fully understood, and which this study addresses, is: Where should product reviews be displayed so as to positively affect a consumer's decision-making performance? We focus on evaluating the impact of the placements and the source of reviews (i.e., the pre-screening or post-screening display of experts' or users' comments) on consumer behavior. Building on the underpinnings of Kuhlthau's model of information search process, we propose that the Expert-User product review provision (i.e., placing the expert reviews before the screening stage and the user reviews after the screening stage) will lead to higher purchase decision performance than the User-Expert product review provision. We subsequently designed an experiment to validate the proposition. The results reveal that the Expert-User product review provision would lead to a higher purchase decision performance than the User-Expert product review provision, in terms of both the decision process and decision outcome.

Original languageEnglish
Title of host publicationICIS 2010 Proceedings
Subtitle of host publicationThirty First International Conference on Information Systems
Number of pages17
Publication statusPublished - Dec 2010
Event31st International Conference on Information Systems, ICIS 2010: Gateway to the Future - Saint Louis, United States
Duration: 12 Dec 201015 Dec 2010
https://aisel.aisnet.org/icis2010_submissions/

Conference

Conference31st International Conference on Information Systems, ICIS 2010
Country/TerritoryUnited States
CitySaint Louis
Period12/12/1015/12/10
Internet address

Scopus Subject Areas

  • Information Systems

User-Defined Keywords

  • Information placement
  • Information search
  • Product review
  • Reason-based choice

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