Abstract Based on the Job Demands-Resources model, this study analyzes questionnaire data collected at three different time points from 352 gig workers. It explores the impact of gig workers’ perceived algorithmic evaluation and constraints on their emotional labor strategies (surface acting and deep acting). The results finds that perceived algorithmic evaluation and constraints positively influence gig workers’ interactional psychological strain, leading to a positive effect on their surface acting and a negative effect on their deep acting. Online community support weakens the positive relationship of perceived algorithmic evaluation and constraints to interactional psychological strain. Furthermore, it also negatively moderates the mediating role of interactional psychological strain between perceived algorithmic evaluation and constraints and the two types of emotional labor strategies.
ZHAN Zhipeng,WEN Xiaoyi,QIAN Zhichao等. Emotional Labor Strategies of Gig Workers under Algorithmic Logic[J]. Chinese Journal of Management, 2024, 21(3): 381-.
