Quality and pricing decisions in a market with consumer information sharing

Baojun Jiang, Bicheng Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

113 Citations (Scopus)

Abstract

We provide a dynamic, game-theoretic model to examine a firm's quality and pricing decisions for its new experience goods. Early consumers do not observe product quality prior to purchase but can learn it after purchase and share that product-quality information with later consumers-for example, through online reviews. Both the firm's quality decision and its cost efficiency are the firm's private information and not directly observed by the consumer. The early consumers can make a rational inference from the firm's price about its cost and quality taking into account the firm's profit incentive from the later informed consumers. We find that in equilibrium a more cost-efficient firm chooses higher quality than does an inefficient firm. One might intuit that a firm will offer higher quality if its high efficiency is known to consumers than if its efficiency is not known, because it will no longer need to convince consumers that it is not the inefficient firm. Our analysis shows that, surprisingly, the opposite may be true-when a firm's high efficiency is publicly known, the firm may reduce its product quality rather than increase it. Furthermore, consumers' knowledge about the firm's cost efficiency can reduce the consumer surplus.We also show that an improvement in the average cost efficiency in the market can lower the consumer surplus.

Original languageEnglish
Pages (from-to)272-285
Number of pages14
JournalManagement Science
Volume65
Issue number1
DOIs
Publication statusPublished - Jan 2019
Externally publishedYes

Keywords

  • Asymmetric information
  • Experience goods
  • Moral hazard
  • Pricing
  • Product quality
  • Separating equilibrium
  • Signaling
  • Social learning
  • User-generated content

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research

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