Understanding Product Reviews: Information Search in Online Review Systems

3 Pages Posted: 6 Feb 2016

See all articles by Yegin Genc

Yegin Genc

Stevens Institute of Technology - School of Business

Jie Ren

Fordham University

Date Written: October 1, 2015

Abstract

While many consumers rely heavily on online reviews during their purchases, it is unrealistic to expect a consumer to read every online review and make an informed decision. Many online review systems provide summary views in the form of overall sentiment scores or rating distributions (e.g., Amazon, Alibaba etc.). While consumers rely on such high-level views that summarize the opinions of many, they also read individual reviews to understand the nature of the overall sentiment. In a way, product details, overall sentiment summaries and individual reviews form a network of information that users explore to make their purchase decisions. This work studies the user behavior when they are exploring this network of product and sentiment information; and how it may relate to online sales.

Keywords: Online review system, search behavior

Suggested Citation

Genc, Yegin and Ren, Jie, Understanding Product Reviews: Information Search in Online Review Systems (October 1, 2015). Stevens Institute of Technology School of Business Research Paper No. 2727960, Available at SSRN: https://ssrn.com/abstract=2727960 or http://dx.doi.org/10.2139/ssrn.2727960

Yegin Genc

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

Jie Ren (Contact Author)

Fordham University ( email )

Rose Hill Campus Bronx
New York, NY 10458
United States

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