Content area

Abstract

This dissertation analyzes the day-to-day working conditions and the technologically mediated labor process of platform or so-called `gig work.? While much has been written about the novelty and seemingly data-driven immateriality of the platform economy, this study draws upon Marxist labor process theory to illuminate how material value is generated through platform-based or algorithmic control of workers and work processes. Spanning a four-year period that involved both participatory research as a gig worker and interviews with fellow workers (n=20) across four popular service platforms, this study details how the nominally `independent contract? crowdsourced labor pool is shaped, coordinated, and disciplined according to the dictates and priorities of platform capitalist accumulation. Within this nexus of control, however, atomized workers engage in novel forms of institutional, collective, and individual resistance within this labor process. From an ethnographic and participatory vantage, this research provides a grounded, contemporary, and materialist account of working conditions, the labor process, and worker resistance to the precarious regime of platform capitalism.

Details

1010268
Business indexing term
Title
Crowd Control: Platform Capitalism and the Labor Process
Number of pages
220
Publication year
2025
Degree date
2025
School code
0042
Source
DAI-A 87/3(E), Dissertation Abstracts International
ISBN
9798291589908
Committee member
Erdmans, Mary P.; Dannefer, Dale; Flores, John
University/institution
Case Western Reserve University
Department
Sociology
University location
United States -- Ohio
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32275633
ProQuest document ID
3245497031
Document URL
https://www.proquest.com/dissertations-theses/crowd-control-platform-capitalism-labor-process/docview/3245497031/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic