Danggeun Market "Increase in Self-Dispute Resolution Rate to 91%"

Analysis Results of Dispute Data in 'Personal Transactions' Released

[Asia Economy Reporter Kim Cheol-hyun] Danggeun Market announced on the 15th the results of its analysis of 'peer-to-peer transaction dispute data,' revealing that its internal dispute resolution rate increased from 86% last year to 91% this year.

According to Danggeun Market's secondhand transaction data from January to November this year, the total number of secondhand transaction posts increased by 9% compared to the same period last year, and the proportion of dispute reports received remained at 0.05% of all posts, similar to last year.

Among all dispute reports received, the proportion resolved internally on the platform rose from 86% last year to 91% this year. This means that 9 out of 10 users accepted the mediation proposal or resolved the dispute through pre-mediation agreement without any separate sanctions.

Danggeun Market conducts a first-stage internal mediation when disputes arise, and if unresolved, proceeds to a second-stage mediation accompanied by service usage restrictions. If no agreement is reached at this stage, the case is transferred to the Electronic Transaction Dispute Mediation Committee under the Korea Internet & Security Agency (KISA).

To increase the resolution rate at the first mediation stage, Danggeun Market operates specialized teams by dispute type within its subsidiary Danggeun Service, which specializes in service operation management. Danggeun Service proposes mediation plans considering various variables such as the difference between the post notice and the actual item, the occurrence and recognition timing of defects, and leads the parties to reach an agreement.

A Danggeun Market official stated, "Danggeun Market recognizes dispute resolution as a key task and will take the lead in protecting users," adding, "We will continue to enhance user protection policies through ongoing research on disputes as well as collaboration with consumer groups, related academia, and relevant institutions."

This content was produced with the assistance of AI translation services.