There is an increasing body of research on algorithmic management (AM), but the field lacks
measurement tools to capture workers' experiences of this phenomenon. Based on existing …

The use of algorithmic management systems is rapidly changing organizational models and
practices, as millions of workers in multiple sectors worldwide are managed by computer …

Abstract Knowledge work today is characterized by frequent interruptions. Digital distraction
plays an increasingly important role in this work context as workers' behavior and emotional …

Purpose The increasing integration of Artificial Intelligence (AI) within enterprises is
generates significant technostress among employees, potentially influencing their intention …

Live-streaming shopping provides a dynamic, interactive experience; however, its
associated ethical challenges have raised significant public concerns. Specifically, live …

Online labor platforms widely implement algorithmic control to ensure that workers
consistently deliver quality services. However, extensive evidence suggests that platform …

On-demand work applications (ODWAs), a type of digital platforms (DPs), are technology-
enabled intermediaries for gig workers. In this paper, we study these platforms and their …

The pandemic-generated shift to remote work, along with the increasing datafication of work
processes, has triggered an unprecedented raise in the use of employee surveillance …

Labeling is critical in creating training datasets for supervised machine learning, and is a
common form of crowd work heteromation. It typically requires manual labor, is badly …

Algorithmic management of workers is a relatively new phenomenon which impacts workers
in diverse manners. The growing literature on this disruptive and technology-mediated form …