The making of the “good bad” job: How algorithmic management manufactures consent through constant and confined choices (Record no. 528196)
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| 000 -LEADER | |
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| fixed length control field | 02340nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241114b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Cameron, Lindsey D. |
| 245 ## - TITLE STATEMENT | |
| Title | The making of the “good bad” job: How algorithmic management manufactures consent through constant and confined choices |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Administrative Science Quarterly |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 69(2), Jun, 2024: p.458-514 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This research explores how a new relation of production—the shift from human managers to algorithmic managers on digital platforms—manufactures workplace consent. While most research has argued that the task standardization and surveillance that accompany algorithmic management will give rise to the quintessential “bad job” (Kalleberg, Reskin, and Hudson, 2000; Kalleberg, 2011), I find that, surprisingly, many workers report liking and finding choice while working under algorithmic management. Drawing on a seven-year qualitative study of the largest sector in the gig economy, the ride-hailing industry, I describe how workers navigate being managed by an algorithm. I begin by showing how algorithms segment the work at multiple sites of human–algorithm interactions and how this configuration of the work process allows for more-frequent and narrow choice. I find that workers use two sets of tactics. In engagement tactics, individuals generally follow the algorithmic nudges and do not try to get around the system; in deviance tactics, individuals manipulate their input into the algorithmic management system. While the behaviors associated with these tactics are practical opposites, they both elicit consent, or active, enthusiastic participation by workers to align their efforts with managerial interests, and both contribute to workers seeing themselves as skillful agents. However, this choice-based consent can mask the more-structurally problematic elements of the work, contributing to the growing popularity of what I call the “good bad” job.- Reproduced https://journals.sagepub.com/doi/full/10.1177/00018392241236163 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Algorithmic management, Workplace consent, Labor process theory, Gig work, Gig/on-demand economy, Digital platforms, Front-line service workers, Uber, Lyft. |
| 9 (RLIN) | 48935 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Administrative Science Quarterly |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | LABOUR |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-11-14 | 69(2), Jun, 2024: p.458-514 | AR133579 | 2024-11-14 | Articles |