Author List: Kwark, Young; Chen, Jianqing; Raghunathan, Srinivasan;
Information Systems Research, 2014, Volume 25, Issue 1, Page 93-110.
This paper studies the effect of online product reviews on different players in a channel structure. We consider a retailer selling two substitutable products produced by different manufacturers, and the products differ in both their qualities and fits to consumers' needs. Online product reviews provide additional information for consumers to mitigate the uncertainty about the quality of a product and about its fit to consumers' needs. We show that the effect of reviews on the upstream competition between the manufacturers is critical in understanding which firms gain and which firms lose. The upstream competition is affected in fundamentally different ways by quality information and fit information, and each information type has different implications for the retailer and manufacturers. Quality information homogenizes consumers' perceived utility differences between the two products and increases the upstream competition, which benefits the retailer but hurts the manufacturers. Fit information heterogenizes consumers' estimated fits to the products and softens the upstream competition, which hurts the retailer but benefits the manufacturers. Furthermore, reviews may also alter the nature of upstream competition from one in which consumers' own assessment on the quality dimension plays a dominant role in consumers' comparative evaluation of products to one in which fit dimension plays a dominant role. If manufacturers do not respond strategically to reviews and keep the same wholesale prices regardless of reviews (i.e., the upstream competition is assumed to be unaffected by reviews), then, we show that reviews never hurt the retailer and the manufacturer with favorable reviews, and never benefit the manufacturer with unfavorable reviews, a finding that demonstrates why reviews' effect on upstream competition is critical for firms in online marketplaces.
Keywords: online product reviews;competition;electronic commerce;analytical modeling;economics of IS
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#199 0.295 reviews product online review products wom consumers consumer ratings sales word-of-mouth impact reviewers word using effect marketing helpfulness electronic commerce
#268 0.221 arguments retailers manufacturers retailer internet claim manufacturer consumer argumentation referral agency store third-party upstream argument wholesale rely samples electronic plus
#242 0.132 market competition competitive network markets firms products competing competitor differentiation advantage competitors presence dominant structure share using incumbent make important
#0 0.128 information types different type sources analysis develop used behavior specific conditions consider improve using alternative understanding data available main target
#218 0.078 role roles gender differences women significant play age men plays sample differ played vary understand critical greater implications relatively offered