摘要
依据工作要求-资源模型,通过分析收集到的352名零工工作者3个时点的问卷数据,探讨零工工作者感知算法评估约束对其情绪劳动策略(浅层扮演和深层扮演)的作用关系。研究结果发现,感知算法评估约束能够通过影响零工工作者的交互性心理紧张对其浅层扮演产生正向影响,对其深层扮演产生负向影响;在线社群支持削弱了感知算法评估约束到交互性心理紧张的正向关系;同时,也负向调节了交互性心理紧张在感知算法评估约束和两种情绪劳动策略间的中介作用。
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.
作者
张志朋
闻效仪
钱智超
高雪原
裴嘉良
ZHAN Zhipeng;WEN Xiaoyi;QIAN Zhichao;GAO Xueyuan;PEI Jialiang(China University of Labor Relations,Beijing,China;South China University of Technology,Guangzhou,China)
出处
《管理学报》
北大核心
2024年第3期381-391,共11页
Chinese Journal of Management
基金
国家自然科学基金资助项目(72202224)
中央高校(中国劳动关系学院)基本科研业务费青年学术创新资助项目(23ZYJS002)
教育部人文社会科学基金资助项目(23YJC630045)。
关键词
零工工作者
感知算法评估约束
交互性心理紧张
在线社群支持
情绪劳动
gig workers
perceived algorithmic evaluation and constraints
interactional psychological strain
online community support
emotional labor
