This study explores the operational mechanisms and dual impacts of the gig economy on the labor market through a case study of the Upwork platform. The gig economy offers unprecedented flexibility and global opportunities, particularly evident in professional fields such as software development, design, writing, and translation. However, this economic model also brings employment instability and high competitive pressure, especially for newcomers who may struggle to find suitable work due to platform algorithm biases, leading to talent loss and jeopardizing platform sustainability. Moreover, the subjective evaluation of work quality and inadequate dispute resolution mechanisms often lead to conflicts between users and workers. Despite data from the United States Bureau of Labor Statistics in 2017 showing that 34% of American workers participated in the gig economy, indicating its positive contribution to society, platforms and regulators need to further refine evaluation and compensation mechanisms to ensure fairness and efficiency. This paper suggests that by optimizing algorithms and assessment systems, and in conjunction with protective government policies, the fairness and sustainability of the gig economy can be effectively enhanced, creating positive outcomes for all participants.
Research Article
Open Access