Abstract
Gig economy workers enjoy flexibility in choosing certain aspects of their work. Nonetheless, platform companies still need to control workers’ behaviors to scale their business and ensure customers quality service. Mechanisms of control have been widely studied in traditional organizations; however, work in the gig economy differs from traditional organizations in that the role of a human supervisor is replaced with digital systems. Thus, there is reason to suspect that our traditional theories of control may not hold for new forms of work in the gig economy. To address these concerns, this study examines how gig economy workers, specifically Uber drivers, perceive behavior control and its effect on their job satisfaction. Our results suggest that emotional labor mediates the relationship between perceived behavior control and job satisfaction.
| Original language | English |
|---|---|
| Title of host publication | CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing |
| Publisher | Association for Computing Machinery |
| Pages | 241-244 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450360180 |
| DOIs | |
| State | Published - 30 Oct 2018 |
| Externally published | Yes |
| Event | 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 - Jersey City, United States Duration: 3 Nov 2018 → 7 Nov 2018 |
Publication series
| Name | Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW |
|---|
Conference
| Conference | 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 |
|---|---|
| Country/Territory | United States |
| City | Jersey City |
| Period | 3/11/18 → 7/11/18 |
Bibliographical note
Publisher Copyright:Copyright is held by the author/owner(s).
Keywords
- Control
- Emotional labor
- Gig economy workers
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Human-Computer Interaction