근로가치관이 플랫폼 노동자의 직무 태도에 미치는 영향에 관한 연구

The enhancement of algorithmic management within platform companies and the expanding recognition of the ‘employee status’ of platform workers in various areas indicate a need for platform companies to broaden their comprehension of platform workers‘ job attitudes as an internal human resource. This study aims to explore variations in platform workers’ job attitudes based on their work values in light of the evolving landscape of algorithmic management. Specifically, the research delves into discerning differences in platform workers’ perceptions of job attitudes in relation to their work values. A multivariate analysis of variance(MANOVA) was employed in examining survey data from 177 riders affiliated with a delivery platform that implemented algorithmic management. The findings revealed that platform workers who prioritize work value (job interest), exhibited higher levels of perceived fairness in compensation and autonomy. Moreover, those who placed greater importance on work value (economic compensation), demonstrated elevated levels of work overload, perceived fairness in compensation, job burnout, and intentions to seek alternative employment opportunities.