Author List: Ye, Shun; Gao, Guodong (Gordon); Viswanathan, Siva;
MIS Quarterly, 2014, Volume 38, Issue 4, Page 1033-1056.
This study examines how sellers respond to changes in the design of reputation systems on eBay. Specifically, we focus on one particular strategic behavior on eBay’s reputation system: sellers’ explicit retaliation against negative feedback provided by buyers to coerce buyers into revoking their negative feedback. We examine how these strategic sellers respond to removal of their ability to retaliate against buyers. We utilize one key policy change of eBay’s reputation system, which provides a natural experimental setting that allows us to infer the causal impact of the reputation system on seller behavior. Our results show that coercing buyers to revoke their negative feedback through retaliation enables low-quality sellers to manipulate their reputations and masquerade as high-quality sellers. We find that these sellers reacted strongly to eBay’s announcement of a proposed ban on revoking. Interestingly, after the power of these strategic sellers is curtailed, we find evidence that they exert more efforts to improve their reputation scores. This study provides valuable insights about the relationship between reputation system and seller behavior, which have important implications for the design of online reputation mechanisms..
Keywords: Reputation mechanisms; online ratings; quality transparency; online auctions
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#202 0.414 online uncertainty reputation sellers buyers seller marketplaces markets marketplace buyer price signaling auctions market premiums ebay transaction reverse literature comments
#208 0.109 feedback mechanisms mechanism ratings efficiency role effective study economic design potential economics discuss profile recent component granularity turn compared using
#36 0.090 competitive advantage strategic systems information sustainable sustainability dynamic opportunities capabilities environments environmental turbulence turbulent dynamics key quest create sustained ability
#262 0.081 impact data effect set propensity potential unique increase matching use selection score results self-selection heterogeneity evidence measure associated estimate leads
#75 0.080 behavior behaviors behavioral study individuals affect model outcomes psychological individual responses negative influence explain hypotheses expected theories consequences impact theory
#51 0.070 results study research experiment experiments influence implications conducted laboratory field different indicate impact effectiveness future participants evidence test controlled involving