Skip to main navigation Skip to search Skip to main content

Effect of Timing and Source of Online Product Recommendations: An Eye-Tracking Study

  • Yani Shi
  • , Qing Zeng
  • , Fiona Fui-Hoon Nah
  • , Chuan-Hoo Tan
  • , Choon Ling Sia
  • , Keng Siau
  • , Jiaqi Yan
  • Missouri University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Online retail business has become an emerging market for almost all business owners. Online recommender systems provide better service to consumers during their decision making processes. In this study, a controlled lab experiment was conducted to assess the effect of recommendation timing (early, mid, and late) and recommendation source (expert reviews vs. consumer reviews) on online consumers' interest and attention. Eye-tracking data was extracted from the experiment and analyzed. The results suggest that consumers show more interest in recommendation based on consumer reviews than expert reviews. Earlier recommendations do not receive greater attention than later recommendations.

Original languageAmerican English
JournalLecture Notes in Computer Science
Volume10294
DOIs
StatePublished - Jul 1 2017

Keywords

  • Decision making process
  • Emerging markets
  • Eye tracking
  • Eye-tracking
  • Eye-tracking studies
  • Logic programming
  • Online product recommendations
  • Online recommender systems
  • Online systems
  • Recommendation source
  • Recommendation timing
  • Timing circuits

Disciplines

  • Business

Fingerprint

Dive into the research topics of 'Effect of Timing and Source of Online Product Recommendations: An Eye-Tracking Study'. Together they form a unique fingerprint.

Cite this