Sequentiality of product review information provision: An information foraging perspective

Mengxiang LI, Chuan Hoo Tan, Kwok Kee Wei, Kanliang Wang

Research output: Contribution to journalReview articlepeer-review

12 Citations (Scopus)


The literature highlights the importance of product review information to a consumer, but limited knowledge exists on the provision of such information in a shopping website. This research uses information foraging theory (IFT) to determine how to provide product reviews. Product reviews differ according to whether the content is mainly on product attributes (i.e., attribute-oriented product reviews) or usage experience (i.e., usage-oriented product reviews). Two empirical studies were conducted. Study 1 examined consumer information diet for product reviews using the think-aloud approach. Results showed that consumers use two different genres of product review information sequentially (1) to follow product attribute-oriented review information during the screening phase and (2) to forage for product usage-oriented review information during the evaluation phase. The findings were extended to Study 2 through a field experiment, in which different patches of product reviews were purposefully and sequentially given in accordance with the consumer information diet for product reviews. The results revealed that an online shopping website could offer varying genres of product reviews at different junctures to enhance consumers' decision-making performance. This research presents empirical evidence on the effectiveness of embedding product review information on a shopping website. This work further contributes to IFT, which is traditionally descriptive and conceptual in nature, by theorizing information provision and information-foraging behaviors of online consumers.

Original languageEnglish
Pages (from-to)867-892
Number of pages26
JournalMIS Quarterly: Management Information Systems
Issue number3
Publication statusPublished - Sep 2017

Scopus Subject Areas

  • Management Information Systems
  • Information Systems
  • Computer Science Applications
  • Information Systems and Management

User-Defined Keywords

  • Information diet
  • Information foraging theory
  • Information patch
  • Information sequentiality
  • Product review


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