Author List: Jabr, Wael; Zheng, Zhiqiang (Eric);
MIS Quarterly, 2014, Volume 38, Issue 3, Page 635-654.
Reviews and product recommendations at online stores have enabled customers to readily evaluate alternative products prior to any purchase. In this context, firms generate recommendations to refer customers to a wider variety of products. They also display customer-generated online reviews to facilitate evaluation of those recommended products. This study integrates these two IT artifacts to investigate consumer choice vis-à-vis competing products. We use a dataset we collected from Amazon.com consisting of books, sales ranks, recommendations, reviews, and reviewers. We derive the granular impact of reviews, product referrals, and reviewer opinions on the dynamics of product sales within a competitive market using comprehensive econometric analyses.
Keywords: Online review; eWOM; competition; recommendation system; instrument variable
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#199 0.433 reviews product online review products wom consumers consumer ratings sales word-of-mouth impact reviewers word using effect marketing helpfulness electronic commerce
#189 0.170 recommendations recommender systems preferences recommendation rating ratings preference improve users frame contextual using frames sensemaking filtering manipulation specific collaborative items
#242 0.122 market competition competitive network markets firms products competing competitor differentiation advantage competitors presence dominant structure share using incumbent make important
#128 0.052 dynamic time dynamics model change study data process different changes using longitudinal understanding decisions develop temporal reveal associated state identifies