Diversity and emotional labor in the gig economy

Ifeyimika O. Ajaiyeoba
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Abstract

PurposeThis paper aims to explore and conceptualize the emotional labor of racial minorities and women in the gig economy.Design/methodology/approachThe paper draws on current research on gig workers' engagement in emotional labor and accounts of unfair practices in the gig economy. It calls out the presence of bias in algorithmic systems used within the gig economy as a means of control and gig worker management. The negative impact of such bias on a specific gig worker demographic is theorized.FindingsThrough a review of research on the nature of work in the gig economy, the paper suggests an unspoken mandate exists for gig workers to engage in emotional labor practices. Specifically, the nature of gig work in terms of algorithmic control, coupled with gig work dependence, often creates a need for gig workers to engage in emotional labor. This need is heightened for racial and ethnic minorities and women gig workers.Research limitations/implicationsAs gig platforms increasingly rely on algorithms for management and gig workers face biases, this paper offers valuable insights that contribute to a comprehensive understanding of the gig economy's impact on worker well-being. The paper discusses the need for more profound research into the nature of work in the gig economy and the life experiences of gig workers.Practical implicationsThis paper has significant implications for organizations and gig workers. Understanding the relationships proposed in this paper can inform organizational strategies to enhance the well-being of gig workers and improve their overall work experiences, potentially leading to increased satisfaction and reduced turnover. Additionally, the paper recommends strategies gig workers can utilize to achieve positive outcomes.Originality/valueThe evolving work landscape, driven by the gig economy, necessitates a thorough understanding of new work dynamics. This paper sheds light on the often-overlooked diversity within the gig workforce, mainly focusing on the unique experiences of women and racial and ethnic minorities.
临时工经济中的多样性和情感劳动
设计/方法/途径本文借鉴了当前有关打工者从事情感劳动的研究以及有关打工经济中不公平做法的描述。论文指出,作为控制和管理零工的一种手段,零工经济中的算法系统存在偏见。研究结果通过对 "零工经济 "中工作性质研究的回顾,本文认为 "零工经济 "中存在着一种不言而喻的授权,即 "零工经济 "中的零工必须从事情感劳动。具体而言,"零工 "工作在算法控制方面的性质,再加上对 "零工 "工作的依赖性,往往使 "零工 "工人需要从事情感劳动。研究局限/启示随着演出平台越来越依赖算法进行管理,演出工人也面临偏见,本文提供了宝贵的见解,有助于全面了解演出经济对工人福祉的影响。本文讨论了对零工经济中的工作性质和零工的生活经历进行更深入研究的必要性。 实际意义本文对企业和零工具有重要意义。了解本文提出的关系可以为组织战略提供参考,以提高临时工的幸福感,改善他们的整体工作体验,从而有可能提高满意度,降低离职率。此外,本文还推荐了临时工可以用来实现积极成果的策略。原创性/价值在临时工经济的推动下,不断变化的工作环境要求我们对新的工作动态有透彻的了解。本文揭示了 "零工 "劳动力中经常被忽视的多样性,主要关注女性、少数种族和少数族裔的独特经历。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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