Get personalized book recommendations based on your reading history and preferences. Our algorithm analyzes your favorite books and reading patterns to suggest your next great read.

Algorithmic management as a book category covers how software, data and automated decision‑making shape the organization, supervision and experience of work. Titles in this genre examine the design, deployment and consequences of algorithms used for scheduling, performance evaluation, hiring, task allocation and surveillance—from gig‑economy platforms and warehouse systems to HR analytics and customer‑service bots. Works range from critical investigations and sociological studies to practical guides for technologists and managers, policy analyses, legal and ethical critiques, and technical explorations of algorithmic design and fairness. Common themes include power and accountability, labor rights, transparency, bias and governance, along with case studies, empirical research and proposals for regulation or redesign. The audience typically spans scholars, practitioners, policymakers and workers interested in the social, technical and economic implications of automating managerial functions.

Filter books by their publication year. Enter the earliest year (Start) and latest year (End) to find books published within that period. Leave either field empty to search from the beginning of time or up to the present day.