Algorithmic management in a work context
Algorithmic management in a work context
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DOI：
10.1177/20539517211020332
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发表时间：
2021-07-01
影响因子：
8.5
通讯作者：
Sutherland, Will
中科院分区：
文献类型：
--
作者：
Jarrahi, Mohammad Hossein;Newlands, Gemma;Sutherland, Will
基于当代人工智能系统的基础机器学习算法的快速开发为工作流程和管理功能的自动化创造了新的机会。虽然已经在平台介导的零工经济中观察到算法管理，但其变革性覆盖范围和后果也蔓延到更标准的工作环境中。探索算法管理作为一种社会技术概念，反映了技术基础设施和组织选择，我们讨论了算法管理如何影响组织内现有的权力和社会结构。我们确定三个关键问题。首先，我们探索算法管理如何塑造工人和经理之间的预先存在的权力动态。其次，我们讨论算法管理如何要求新的角色和能力，同时还促进对算法的对立态度。第三，我们解释了算法管理如何影响组织内的知识和信息交流，从而在技术和组织层面上揭开了不透明度的概念。我们通过将此作品置于有关工作，问责制和确定未来研究步骤的更广泛讨论中的结论。
The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.