In recent years, major advancements in artificial intelligence (AI) have introduced new human-technology coordination challenges related to trust and human agency. Likewise, major humanitarian crises have been proliferating worldwide, which can be characterized as “extreme contexts.” An...

Regulatory technology coordinates algorithmic organizing between governments and industry by facilitating the exchange of compliance data to assess appropriate business conduct. This longitudinal ethnography of US regulatory technology revealed how financial services organizations established...

Volume 95 of Research in the Sociology of Organizations explores the phenomenon of “algorithmic organizing,” the embedding of data-driven computational processes into organizational structures, processes, and everyday work. Through diverse empirical studies across four thematic sections, the...

In this paper, we report on our experiences as editors using AI in the review process. During the editorial process for Volume 95 of Research in the Sociology of Organizations on Algorithmic Organizing, we explored the benefits and challenges that arise when AI is incorporated into the editorial...

We explore the increasing role of algorithms in organizational processes, conceptualized as “algorithmic organizing.” As algorithms move from being mere tools to embedded drivers of organizational processes, they redefine traditional boundaries in work practices. Drawing on the assemblage...

The goal of this paper is to outline methodological insights and tips that organizational ethnographers can employ in studying the development of machine learning models (“ML tools”) to better understand the resulting ML tool and its organizational consequences. While proliferating at a...

Following calls for researchers to explore user-centric perspectives on platform algorithms, we investigate platform users’ experiences and interactions with algorithms when glitches, i.e., platform errors, occur. Glitches prompt reflection and trigger responses among users, thus providing...

Organizations must be prepared to integrate algorithms into their workflows, and algorithms must be designed in particular ways for them to function in organizational practices. In our terminology, organizations need to be made algorithm-ready. We conceive of such work as techno-organizational...

How do professionals create algorithms to generate novel insights? In this inductive study of data science routines, we develop a theory that explains how professionals dynamically create and redesign artifacts to surface insights that guide decision-making and routines. We find that...

In this study, we examine the work of data scientists, members of an emerging technical occupation, through the lens of craft. Drawing on 65 in-depth interviews with data scientists, we show that their work cannot be adequately explained by the human–machine configurations characterized in the...