Are we only all by ourselves? A double-level perspective to cope with the insecurity of the nonstandard gig work model

零工经济 工作(物理) 透视图(图形) 结构方程建模 公司治理 业务 计算机科学 工程类 财务 机械工程 机器学习 人工智能
作者
Jianyu Chen
出处
期刊:International Journal of Manpower [Emerald Publishing Limited]
卷期号:45 (4): 733-753 被引量:7
标识
DOI:10.1108/ijm-05-2023-0231
摘要

Purpose The emerging nonstandard employment (i.e. gig work) makes gig workers face a series of forms of labor insecurity. Prior studies focus on the linkage between gig work insecurity and precariousness. However, how gig workers and platforms jointly handle gig work insecurity has been so far overlooked. To this end, this study aims to explore how gig platforms and workers jointly cope with the insecurity of the gig work model. Design/methodology/approach Building upon the JD-R model, this study used a double-level perspective to hypothesize how gig platforms and workers jointly cope with gig work insecurity. Second, 248 questionnaire data were collected from workers who worked for several gig platforms (e.g. Meituan, Eleme, DidiTax, Zhihu and Credamo) in China. Third, the analysis method based on the partial least squares structural equation model (PLS-SEM) was employed to test the study theoretical model. Findings Empirical findings show that gig workers can cope with gig work insecurity by crafting their work; gig platforms' formalization governance not only reduces gig work insecurity but also helps gig workers address it by more easily crafting their work. Practical implications Gig workers do always have not enough job resources and motivation to work hard. Gig workers merely rely on job crafting to cope with the insecurity of the gig work model, which is insufficient. Gig platforms should also formalize their current governance mechanisms, which can supplement gig workers' job resources and reduce their job demands so as to help them cope with such gig work insecurity. Originality/value These results advance the understanding of the joint roles of gig platforms and workers in addressing gig work insecurity and improve governance effectiveness and value of gig platforms.
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