한·중 외식배달 플랫폼 종사자의 고용환경 비교연구: '배민'과 '메이투안'을 중심으로

Abstract

We've become familiar with platform economic life but our understanding about the role of the platform is insufficient. Often, they judge the platform they are using as a simple brokerage app, and they do not even recognize that the platform is involved in labor management in actual O2O transactions. Even though the platform's information technology processing system has been upgraded, labor dependence has been much strengthened. In the case of food delivery platforms such as Baemin, it induced riders to achieve the highest speed in the call competition with the goal of delivery efficiency, and AI allocation not only encouraged more riders to participate in the call competition, but also directly controlled delivery speed, delivery volume, and delivery route. In China, where AI allocation technology has advanced further, direct monitoring of delivery workers has been added, and riders are simply trapped in ‘digital version Panopticon'. Riders from both countries faced similar employment instability, and the two countries' responses to this differ greatly. While Korea still does not recognize labor relations but omly presents social-level guides. However China has ordered to recognize labor dependence and take measures to protect rider rights and interests. In response, Meituan installed a labor intensity mitigation item on the Ryder application. The text argues that accurate recognition of the labor relationship between the rider and the platform and introduction of functions similar to those installed by Meituan into the domestic delivery platform system can improve the employment status of the rider through technology development.