Endicott College, Woosong University, 17-2, Jayang- dong, Dong-gu, Daejeon City, South Korea.
School of Economics, Fuyang Normal University, No. 100, Qinghe West Rd, Ying Zhou District, Fuyang City, An Hui Province, China.
BMC Psychol. 2023 Oct 24;11(1):354. doi: 10.1186/s40359-023-01402-0.
With the emergence of the gig economy as a new economic form, the influence of algorithmic technology control on gig workers' perceptions and engagement has become a topic of academic concern. This study explores the emotional impact of perceived algorithmic control on gig workers and how it affects their work engagement.
This study takes gig workers as the research object to build a structural equation model. Based on the background of gig economy and the Job Demands-Resources model, this paper constructs a mechanism model of the influence of perceived algorithmic control on the work engagement of gig workers. The research data in this paper are collected by questionnaire, and the research hypothesis is tested by the SEM structural model.
The gig workers in this study believed that perceived algorithmic control positively affects employee work engagement. In addition, burnout was positively correlated with employee work engagement. Burnout played a partial mediating role in the relationship between perceived algorithmic control and employee work engagement. And flow experience played a moderating role through the indirect effect of burnout on employees' work engagement.
Perceived algorithmic control causes burnout among gig workers, but strong algorithmic technology support provides them with rich work resources that can help them meet their work needs. That is, the gig workers may still demonstrate a high level of work engagement even if they experience burnout symptoms.
随着零工经济作为一种新的经济形式的出现，算法技术控制对零工工人的感知和参与的影响已成为学术关注的话题。本研究探讨了感知算法控制对零工工人的情绪影响，以及它如何影响他们的工作投入。
本研究以零工工人为研究对象，构建结构方程模型。基于零工经济背景和工作要求-资源模型，本文构建了感知算法控制对零工工人工作投入影响的机制模型。本文的研究数据通过问卷调查收集，通过 SEM 结构模型检验研究假设。
本研究中的零工工人认为感知算法控制对员工工作投入有积极影响。此外，倦怠与员工工作投入呈正相关。倦怠在感知算法控制与员工工作投入之间的关系中起部分中介作用。并且，工作投入通过倦怠对员工工作投入的间接效应起到调节作用。
感知算法控制导致零工工人产生倦怠，但强大的算法技术支持为他们提供了丰富的工作资源，帮助他们满足工作需求。也就是说，即使零工工人出现倦怠症状，他们仍可能表现出较高的工作投入。
