%0 Journal Article
%T 隐患还是利器？算法控制对零工工作者职业倦怠的影响研究<br>Hidden Danger or Sharp Weapon? Research on the Effect of Algorithmic Control on Gig Worker Burnout
%A 杨凤梅
%J Service Science and Management
%P 283-288
%@ 2324-7916
%D 2024
%I Hans Publishing
%R 10.12677/ssem.2024.133035
%X 算法控制作为现代零工经济中的关键管理手段，其应用既有助于提升工作效率、优化任务分配，也可能带来一系列心理压力和工作挑战，进而加剧职业倦怠。本研究基于工作要求–资源模型深入探讨了算法控制对零工工作者职业倦怠的双重影响。本文将算法控制划分为算法规范指导、算法追踪评估和算法行为约束3个维度，基于工作要求–资源模型，探讨了算法规范指导增加工作资源、算法追踪评估减少工作资源、算法行为约束增加工作要求的过程，并提出了相应的对策建议，有助于学界辩证地看待算法控制对零工工作者职业倦怠的影响，并为算法平台优化其算法提供实践启示。<br />
As a key management tool in the modern gig economy, the application of algorithmic control can not only help to improve work efficiency and optimize task allocation, but also may bring a series of psychological pressures and work challenges, thereby exacerbating burnout. Based on the job demands-resources model, this paper explores the dual effects of algorithmic control on gig worker burnout. This paper divides algorithm control into three dimensions: algorithm specification guidance, algorithm tracking and evaluation and algorithm behavior constraints. Based on the job demands-resources model, it discusses the process of algorithm specification guidance to increase work resources, algorithm tracking and evaluation to reduce work resources, and algorithm behavior constraints to increase work requirements, and puts forward corresponding countermeasures and suggestions, which will help the academic community to dialectically view the impact of algorithm control on gig worker burnout, and provide practical inspiration for algorithm platforms to optimize their algorithms.
%K 算法控制，职业倦怠，零工工作者，工作要求–资源模型，零工经济<br>Algorithm Control
%K Burnout
%K Gig Worker
%K Job Demands-Resources Model
%K Gig Economy
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=86637