计算群体工作中的数字变异性

IF 2.8 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
K. D. Joshi, Joseph Taylor, X. Deng
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引用次数: 1

摘要

我们的AMICS TREO论文开始讨论由在线平台(如Uber、Instacart、Upwork和Amazon Mechanical Turk (MTurk))支持的不同类型的人群工作中存在的数字可变性(Taylor et al., 2020)。我们认为,在线平台将其工作要素(例如,任务、资产、治理和支持服务)数字化的程度与理解这些平台之间人群工作的差异密切相关。在此,我们力求通过突出三个考虑领域来扩大这一对话。这些考虑将使数字变异性成为信息系统(IS)研究的中心特征,从而使未来群体工作研究的重点更加突出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accounting for Digital Variability in Crowd Work
Our AMICS TREO paper started the conversation regarding the digital variability that exists in different types of crowd work enabled by online platforms, such as Uber, Instacart, Upwork, and Amazon Mechanical Turk (MTurk) (Taylor et al., 2020). We argued that the degree to which online platforms digitize their work elements (e.g., tasks, assets, governance, and support services) is germane to understanding how crowd work differs among these platforms. Here we seek to extend this dialogue by highlighting three areas of consideration. These considerations will sharpen the focus of future crowd work research by making the digital variability a central character in information systems (IS) research.
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来源期刊
Data Base for Advances in Information Systems
Data Base for Advances in Information Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
18
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