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Furthering engaged algorithmic management research: Surfacing foundational positions through a hermeneutic literature analysis
Information and Organization ( IF 5.7 ) Pub Date : 2024-08-15 , DOI: 10.1016/j.infoandorg.2024.100528
Rick Sullivan , Alex Veen , Kai Riemer

This study undertakes a hermeneutic analysis of the growing literature on algorithmic management. Algorithmic management is a subset of algorithmic decision-making, also referred to as algorithmic work. To date, the underlying norms, and assumptions of researchers, and how assumptions shape understandings of algorithmic management, have been under investigated. Using a hermeneutic methodology, we uncover four different onto-epistemological positions in the literature based on two overarching worldviews. The first is techno-human dualism, rooted in dualist ontological assumptions foregrounding entities. The second is techno-human entanglement, grounded in relational perspectives that view the social and material as inseparable. The worldviews are comprised of four meta-understandings that form our framework: (1) the ‘techno-centric’ view gives primacy to the technology, with humans seen as a secondary feature; (2) the ‘techno-mediated control’ view focuses on managerial power with technology a tool for control and the organization of labor; (3) the ‘techno-human enactment’ view focuses on the performative aspects of algorithmic management; and (4) the ‘techno-human being’ view explores how algorithmic management affects identity (re)formation and meaning-making. We demonstrate how onto-epistemological assumptions configure interpretations of algorithmic management. We focus on algorithms (as a foundational and integral characteristic), organizational control (a core function), and human-in-the-loop configurations (as a possible safeguard). By surfacing the plurality of assumptions in algorithmic management research, we seek to foster more engaged scholarship and encourage the virtue of choosing a research position rather than inheriting it.

中文翻译:


进一步开展算法管理研究:通过解释性文献分析揭示基础立场



本研究对不断增长的算法管理文献进行了解释学分析。算法管理是算法决策的一个子集,也称为算法工作。迄今为止,研究人员的基本规范和假设,以及假设如何塑造对算法管理的理解,已经得到了调查。使用解释学方法,我们基于两种总体世界观揭示了文献中四种不同的本体认识论立场。第一个是技术与人类二元论,植根于突出实体的二元本体论假设。第二个是技术与人类的纠葛,其基础是认为社会和物质密不可分的关系视角。世界观由构成我们框架的四种元理解组成:(1)“以技术为中心”的观点将技术置于首位,而人类被视为次要特征; (2)“技术介导的控制”观点侧重于管理权力,技术是控制和组织劳动的工具; (3)“技术-人类制定”观点侧重于算法管理的执行方面; (4)“技术人类”观点探讨了算法管理如何影响身份(重新)形成和意义建构。我们演示本体认识论假设如何配置算法管理的解释。我们专注于算法(作为基础和整体特征)、组织控制(核心功能)和人机交互配置(作为可能的保障措施)。通过在算法管理研究中提出多元化假设,我们寻求培养更多参与性的学术成果,并鼓励选择研究职位而不是继承它的美德。
更新日期:2024-08-15
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