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Can online markets attract high-quality products?

dc.contributor.authorChen, Pu
dc.contributor.authorChen, Yijuan
dc.contributor.authorHu, Xiangting
dc.contributor.authorLi, Sanxi
dc.date.accessioned2015-12-13T22:36:38Z
dc.date.issued2015
dc.date.updated2015-12-11T09:32:40Z
dc.description.abstractWe study a firm's choice between online and physical markets with respect to product quality. We analyze two contrasting driving forces: On the one hand, online consumers cannot physically inspect the products prior to purchase. This provides the firm with the incentive to hide low-quality products online. On the other hand, consumer reviews and the larger market size may attract higher qualities to the online market. Using a simple yet flexible framework, we show that the firm's choice of a marketplace can disclose or hide product quality. If marginal cost is convex in quality, the firm's choice will be characterized by a cut-off quality level, below which the firm will choose the online market. If marginal cost is concave in quality, both high-end and low-end qualities may choose the online market, leaving the physical market to intermediate qualities. Overall, we show that consumer reviews can alleviate, but do not eliminate, the "lemons problem". The pooling result in the case of concave-in-quality marginal cost provides a caveat for empirically testing the effectiveness of online consumer-review mechanisms.
dc.identifier.issn0264-9993
dc.identifier.urihttp://hdl.handle.net/1885/76857
dc.publisherButterworths
dc.sourceEconomic Modelling
dc.titleCan online markets attract high-quality products?
dc.typeJournal article
local.bibliographicCitation.lastpage71
local.bibliographicCitation.startpage65
local.contributor.affiliationChen, Pu, Renmin University of China
local.contributor.affiliationChen, Yijuan, College of Business and Economics, ANU
local.contributor.affiliationHu, Xiangting, Renmin University of China
local.contributor.affiliationLi, Sanxi, Renmin University of China
local.contributor.authoruidChen, Yijuan, u4753113
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.ariespublicationU3488905xPUB5657
local.identifier.citationvolume51
local.identifier.doi10.1016/j.econmod.2015.07.010
local.identifier.scopusID2-s2.0-84939604337
local.type.statusPublished Version

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