Product Ranking in the Presence of Social Learning

Author:

Maglaras Costis1ORCID,Scarsini Marco2ORCID,Shin Dongwook3ORCID,Vaccari Stefano4ORCID

Affiliation:

1. Columbia Business School, Columbia University, New York, New York 10027;

2. Dipartimento di Economia e Finanza, Luiss University, 00197 Rome, Italy;

3. HKUST Business School, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;

4. Global Data Hub, Global Digital Solutions, ENEL Global Services S.R.L., 00198 Rome, Italy

Abstract

Optimal Policies for Online Platforms When Social Learning Occurs Before buying products online, consumers read the reviews written by the previous customers. If they buy the product, they write a review themselves. When the product is of unknown quality, consumers learn it over time; that is, social learning occurs. If consumers have various purchase options of similar products of different brands, the platform that they use may affect this social learning by choosing the order in which the products appear on its website. In “Product Ranking in the Presence of Social Learning,” Maglaras, Scarsini, Shin, and Vaccari compare various policies that the platform may adopt, with the goal of maximizing its revenue collected from commission fees for sold items. The criterion to compare the policies is the worst-case regret with respect to a fully informed platform benchmark.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

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