Expert-mediated sequential search

Meenal Chhabra, Sanmay Das, David Sarne

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This paper studies markets, such as Internet marketplaces for used cars or mortgages, in which consumers engage in sequential search. In particular, we consider the impact of information-brokers (experts) who can, for a fee, provide better information on true values of opportunities. We characterize the optimal search strategy given a price and the terms of service set by the expert, and show how to use this characterization to solve the monopolist expert's service pricing problem. Our analysis enables the investigation of three common pricing schemes (pay-per-use, unlimited subscription, and package pricing) that can be used by the expert. We demonstrate that in settings characteristic of electronic marketplaces, namely those with lower search costs for consumers and lower costs of production of expert services, unlimited subscription schemes are favored. Finally, we show that the platform that connects consumer and experts can improve social welfare by subsidizing the purchase of expert services. The optimal level of subsidy forces the buyer to exactly fully internalize the marginal cost of provision of expert services. In electronic markets, this cost is minimal, so it may be worthwhile for the platform to make the expert freely available to consumers.

Original languageEnglish
Pages (from-to)861-873
Number of pages13
JournalEuropean Journal of Operational Research
Volume234
Issue number3
DOIs
StatePublished - 1 May 2014

Bibliographical note

Funding Information:
This work was supported by a US-Israel Binational Science Foundation Grant ( 2008404 ), a US National Science Foundation CAREER award (IIS-0952918/1303350), and an Israel Science Foundation Grant ( 1083/13 ).

Keywords

  • Artificial intelligence
  • E-commerce
  • Expert-mediated search
  • Sequential decision making

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