To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders

Author:

Jin Chen1ORCID,Yang Luyi2ORCID,Hosanagar Kartik3ORCID

Affiliation:

1. National University of Singapore, School of Computing, Department of Information Systems and Analytics, Singapore 117417;

2. University of California, Berkeley, Haas School of Business, Berkeley, California 94720;

3. University of Pennsylvania, The Wharton School, Philadelphia, Pennsylvania 19104

Abstract

Brushing—online merchants placing fake orders of their own products—has been a widespread phenomenon on major e-commerce platforms. One key reason why merchants brush is that it boosts their rankings in search results. Products with higher sales volume are more likely to rank higher. Additionally, rankings matter because consumers face search frictions and narrow their attention to only the few products that show up at the top. Thus, fake orders can affect consumer choice. In our paper, we find that if brushing gets more costly for merchants (e.g., due to stricter platform policies), it may sometimes surprisingly harm consumers as it may only blunt brushing by the merchant who sells a more popular product but intensify brushing by the merchant selling a less popular product. If search is less costly for consumers (e.g., due to improved search technologies), it may not always benefit consumers, either. Moreover, the design of the ranking algorithm is critical: placing more weight on sales-volume-related factors may trigger a nonmonotone change in consumer welfare; tracking recent sales only as opposed to cumulative sales does not always dial down brushing and, in fact, may sometimes cause the merchant selling a less popular product to brush more.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems,Management Information Systems

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