Lixia Wang ¹ Yaguang Yan ² Senhu Wang ^3*

• ¹ Shanxi University of Finance and Economics, Taiyuan, Shanxi Province, China
• ² Nippon Bunri University, Oita, Japan
• ³ National University of Singapore, Singapore, Singapore

Job quality of non-standard workers has been an increasing concern of academics and policy makers due to its important implications for workers' subjective wellbeing. However, how to measure the multi-faceted nature of job quality becomes a challenge and is subject to a debate between objective and subjective approaches. Research on quality of nonstandard employment has predominantly adopted an objective approach, scrutinizing the influence of isolated job characteristics like schedule control and financial instability on worker wellbeing. This narrow focus overlooks the comprehensive job experience. Meanwhile, the subjective approach, which could capture individual work values and satisfaction levels, is often sidelined in job quality assessment. Typically, scholars examining work values through a subjective lens do not explicitly connect their findings to job quality metrics. Thus, this article proposes novel perspective of an integrated framework of objective and subjective job quality models, providing a more holistic understanding of the well-being of non-standard workers amidst the evolving labor market landscape. This framework holds significant implications for future dataset development, and public policies to address the diverse needs of the contemporary workforce.