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The Making of the “Good Bad” Job: How Algorithmic Management Manufactures Consent Through Constant and Confined Choices 制造 "好坏 "工作:算法管理如何通过不断的限制性选择制造同意
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2024-03-15 DOI: 10.1177/00018392241236163
Lindsey D. Cameron
This research explores how a new relation of production—the shift from human managers to algorithmic managers on digital platforms—manufactures workplace consent. While most research has argued that the task standardization and surveillance that accompany algorithmic management will give rise to the quintessential “bad job” (Kalleberg, Reskin, and Hudson, 2000; Kalleberg, 2011), I find that, surprisingly, many workers report liking and finding choice while working under algorithmic management. Drawing on a seven-year qualitative study of the largest sector in the gig economy, the ride-hailing industry, I describe how workers navigate being managed by an algorithm. I begin by showing how algorithms segment the work at multiple sites of human–algorithm interactions and how this configuration of the work process allows for more-frequent and narrow choice. I find that workers use two sets of tactics. In engagement tactics, individuals generally follow the algorithmic nudges and do not try to get around the system; in deviance tactics, individuals manipulate their input into the algorithmic management system. While the behaviors associated with these tactics are practical opposites, they both elicit consent, or active, enthusiastic participation by workers to align their efforts with managerial interests, and both contribute to workers seeing themselves as skillful agents. However, this choice-based consent can mask the more-structurally problematic elements of the work, contributing to the growing popularity of what I call the “good bad” job.
本研究探讨了一种新的生产关系--从人类管理者向数字平台上的算法管理者的转变--如何制造工作场所的同意。虽然大多数研究都认为,伴随算法管理而来的任务标准化和监控将导致典型的 "糟糕工作"(Kalleberg, Reskin, and Hudson, 2000; Kalleberg, 2011),但我发现,令人惊讶的是,许多工人表示喜欢在算法管理下工作,并找到了选择。通过对 "打工经济 "中最大的行业--叫车行业--长达七年的定性研究,我描述了工人是如何在算法管理下工作的。我首先展示了算法是如何在人机交互的多个场所对工作进行细分的,以及这种工作流程配置是如何允许更频繁、更狭窄的选择的。我发现工人们使用了两套策略。在参与策略中,个人通常会听从算法的提示,而不会试图绕过系统;在偏离策略中,个人会操纵自己对算法管理系统的输入。虽然与这些策略相关的行为实际上是对立的,但它们都会引起工人的同意,或者说积极、热情的参与,使他们的努力与管理者的利益相一致,而且都有助于工人将自己视为有技能的代理人。然而,这种基于选择的同意可能会掩盖工作中更多的结构性问题,从而导致我所说的 "好坏 "工作越来越受欢迎。
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引用次数: 0
Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart. Text as Data: A New Framework for Machine Learning and the Social Sciences Justin Grimmer、Margaret E. Roberts 和 Brandon M. Stewart。文本即数据:机器学习和社会科学的新框架
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2024-03-11 DOI: 10.1177/00018392241239340
Rodrigo Valadao
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引用次数: 0
Trusting Talent: Cross-Country Differences in Hiring 信任人才:跨国招聘差异
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2024-02-26 DOI: 10.1177/00018392241233257
Letian Zhang, Shinan Wang
This article argues that a society’s level of social trust influences employers’ hiring strategies. Employers can focus either on applicants’ potential and select on foundational skills (e.g., social skills, math skills) or on their readiness and select on more-advanced skills (e.g., pricing a derivative). The higher (lower) the social trust—people’s trust in their fellow members of society—the more (less) employers are willing to invest in employees and grant them role flexibility. Employers in higher-trust societies are therefore more attentive to applicants’ potential, focusing more on foundational skills than on advanced skills. We empirically test this theory by using a novel dataset of more than 50 million job postings from the 28 European Union countries. We find that the higher a country’s social trust, the more its employers require foundational skills instead of advanced skills. Our identification strategy takes advantage of multinational firms in our sample and uses measures of bilateral (country-to-country) trust to predict job requirements, while including an instrumental variable and fixed effects on country, year, employer, and occupation. These findings suggest a novel pathway by which social trust shapes employment practices and organizational strategies.
本文认为,一个社会的社会信任度会影响雇主的招聘策略。雇主既可以关注求职者的潜力,从基础技能(如社交技能、数学技能)方面进行选择,也可以关注求职者的准备情况,从更高级的技能(如衍生品定价)方面进行选择。社会信任度越高(越低)--人们对社会成员的信任度越高(越低)--雇主就越愿意投资于员工,并给予他们角色灵活性。因此,在信任度较高的社会中,雇主会更关注求职者的潜力,更注重基础技能而非高级技能。我们通过使用来自 28 个欧盟国家的 5000 多万条招聘信息的新数据集,对这一理论进行了实证检验。我们发现,一个国家的社会信任度越高,其雇主就越需要基础技能,而不是高级技能。我们的识别策略利用了样本中跨国公司的优势,并使用双边(国家对国家)信任的衡量标准来预测职位要求,同时包括工具变量以及国家、年份、雇主和职业的固定效应。这些发现为社会信任影响就业实践和组织战略提供了新的途径。
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引用次数: 0
Frank Dobbin and Alexandra Kalev. Getting to Diversity: What Works and What Doesn’t Frank Dobbin 和 Alexandra Kalev.实现多样性:哪些可行,哪些不可行
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2024-02-24 DOI: 10.1177/00018392241235909
Elizabeth Gorman
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引用次数: 0
Publications Received 收到的出版物
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2024-02-21 DOI: 10.1177/00018392231221175
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引用次数: 0
Michael L. Siciliano. Creative Control: The Ambivalence of Work in the Creative Industries 迈克尔-L-西西里亚诺创意控制:创意产业中工作的矛盾性
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2024-01-08 DOI: 10.1177/00018392231224789
Sarah Harvey
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引用次数: 0
Vili Lehdonvirta. Cloud Empires: How Digital Platforms Are Overtaking the State and How We Can Regain Control Vili Lehdonvirta.云帝国:数字平台如何超越国家以及我们如何重新获得控制权
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2023-12-11 DOI: 10.1177/00018392231217403
Nan Jia
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引用次数: 0
The Impact of Partner Organizational Structure on Innovation 合作伙伴组织结构对创新的影响
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2023-11-26 DOI: 10.1177/00018392231212680
S. Balachandran, John Eklund
Interorganizational partnerships can spur innovation, but their value may be diminished by friction in knowledge flows between firms. We consider how a partner’s organizational structure may influence the knowledge that is accessible via partnerships. We focus on how a partner’s structure trades off localized autonomy for its managers, which facilitates timelier decision making, and unified control, which facilitates integration. By shaping this balance, centralization of decision rights within the partner organization shapes access to its knowledge. Centralized structures generate wide-ranging internal knowledge pathways that enable access to a broader array of a partner’s knowledge. However, the reduced managerial autonomy afforded by centralization makes decision making more cumbersome, which constricts the rate of access to a partner’s knowledge. We find evidence of this tradeoff in the context of corporate venture capital relationships between incumbents and startups in the pharmaceutical industry. An increase in the incumbent’s diversity of knowledge or in the knowledge required by the startup enhances the value of a greater breadth of access, whereas the degree to which the startup can leverage social ties (affinity) or hierarchical fiat (authority) alleviates the costs of a reduced access rate. Each of these features makes an incumbent organization’s centralization more valuable to the startup. By highlighting this tension related to centralization, our findings suggest that new firms striving to maximize their partnership benefits may need to carefully consider their partners’ internal structures.
组织间合作关系可以促进创新,但其价值可能会因企业间知识流动的摩擦而降低。我们考虑了合作伙伴的组织结构如何影响通过合作伙伴关系获得的知识。我们关注的重点是,合作伙伴的组织结构如何在有利于及时决策的管理者本地化自治与有利于整合的统一控制之间进行权衡。通过形成这种平衡,合作伙伴组织内部决策权的集中化会影响其知识的获取。集中化的结构会产生广泛的内部知识途径,从而能够获取合作伙伴更多的知识。然而,集中化带来的管理自主权的减少使决策变得更加繁琐,从而限制了获取合作伙伴知识的速度。我们在制药行业现有企业与初创企业之间的企业风险投资关系中发现了这种权衡的证据。在职者知识多样性的增加或初创企业所需知识的增加会提高获取知识广度的价值,而初创企业能够利用社会关系(亲和力)或等级制度(权威)的程度则会降低获取知识速度的成本。这些特点都使得现有组织的集中化对初创企业更有价值。通过强调这种与集中化相关的紧张关系,我们的研究结果表明,努力实现合作利益最大化的新公司可能需要仔细考虑其合作伙伴的内部结构。
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引用次数: 0
Tedious Work: Developing Novel Outcomes with Digitization in the Arts and Sciences 繁琐的工作:利用艺术和科学领域的数字化开发新成果
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2023-11-24 DOI: 10.1177/00018392231208190
H. Bruns, Elizabeth Long Lingo
Tedious work is pervasive in creative work, yet it has received little attention in the literature on creativity, including studies of science, innovation, and product development. Drawing from a comparative ethnography of two settings—systems biology and music production—we illuminate tedious work as an essential, previously under-investigated aspect of creative work that becomes increasingly prominent with digitization. Tedious work is repetitive, detail-oriented, and expertise-based, and we classify four types of it: fishing, administrating, polishing, and compiling. We develop a model of how tedious work emerges, why it becomes problematic, and what actors do to reduce its negative effects. Tedious work presents three risks to developing viable, novel outcomes—time drain, disengagement, and information overload—and we identify tactics that actors use to mitigate these risks and support individual creativity and the collective creative process. By unpacking the central notion of iteration and documenting the repercussions of creating novel outcomes with digitization, specifically the potential to amplify tedious work, we provide an important counterpoint to voices that hail digital technology’s low cost and unlimited potential for iteration and refinement.
乏味的工作在创造性工作中普遍存在,但在有关创造性的文献中,包括对科学、创新和产品开发的研究中,却很少有人关注它。通过对系统生物学和音乐制作这两种环境进行比较人种学研究,我们发现繁琐的工作是创造性工作的一个重要方面,但以前对它的研究不足,随着数字化的发展,它变得越来越突出。乏味工作是重复性的、注重细节的、以专业知识为基础的工作,我们将其分为四种类型:捕鱼、管理、打磨和编译。我们建立了一个模型,说明乏味工作是如何出现的,为什么会成为问题,以及参与者如何减少其负面影响。乏味的工作给开发可行的、新颖的成果带来了三种风险--时间消耗、参与度降低和信息超载,我们确定了行动者用来降低这些风险、支持个人创造力和集体创造力的策略。通过解读 "迭代 "这一核心概念,并记录利用数字化创造新成果的反响,特别是放大乏味工作的潜力,我们提供了一个重要的对立面,来反驳那些为数字技术的低成本和无限迭代与改进潜力而欢呼的声音。
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引用次数: 0
Kimberly Kay Hoang. Spiderweb Capitalism: How Global Elites Exploit Frontier Markets 金伯利-凯-黄蜘蛛网资本主义:全球精英如何利用前沿市场
IF 10.4 1区 管理学 Q1 BUSINESS Pub Date : 2023-11-17 DOI: 10.1177/00018392231213822
Samantha Ortiz Casillas
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引用次数: 0
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Administrative Science Quarterly
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