Digital Organization · 2018
Working and organizing in the age of the learning algorithm
Samer Faraj, Stella Pachidi, Karla Sayegh
Information and Organization
The research approach
Develops a conceptual analysis of learning algorithms, examining their distinctive characteristics and potential consequences for knowledge work and organizing.
What the research finds
Algorithms can reshape expertise, occupational boundaries and coordination, while opaque operation, pervasive digitization, prediction and embedded politics raise questions about authority and control.
Why it matters for management
Supports discussion of governance and accountability when intelligent systems influence professional judgment, work design and organizational decision processes.
Scope & limitations
The paper proposes a research agenda and conceptual implications; it does not measure the prevalence or size of these effects across workplaces.
