지역 기반 플랫폼노동 종사자의 잠재계층 유형과 관련 특성

Abstract

The purpose of this study is to identify the types of latent classes among regional-based platform workers according to demographic, social, and economic characteristics, and to examine the job-related and psychosocial characteristics of each type. For this research, data from a survey on the living conditions of platform workers were used. The final analysis included data from 687 platform workers across the nation, including 151 designated drivers, 152 courier service drivers, 152 delivery service drivers, 132 passenger transport drivers, and 100 domestic workers. The analysis method involved conducting latent class analysis to identify the types of platform workers and using cross-analysis and one-way ANOVA to understand the factors associated with each type. As a result of the latent class analysis, four latent classes were identified: ‘Young male primary workers’, ‘Highly educated middle-aged female secondary workers’, ‘Low-educated middle-aged male primary workers’, and ‘Highly educated middle-aged male high-income workers’. Differences were observed in job-related and psychosocial characteristics among these types. Based on the analysis results, the study discussed policy and practical implications for each type of platform worker and proposed reviewing course content in the field of social welfare education for a better understanding and intervention for these workers.