Impacts of perceived behavior control and emotional labor on gig workers

Elizabeth B. Marquis, Sangmi Kim, Rasha Alahmad, Casey S. Pierce, Lionel P. Robert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Scopus citations

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 languageEnglish
Title of host publicationCSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages241-244
Number of pages4
ISBN (Electronic)9781450360180
DOIs
StatePublished - 30 Oct 2018
Externally publishedYes
Event21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 - Jersey City, United States
Duration: 3 Nov 20187 Nov 2018

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018
Country/TerritoryUnited States
CityJersey City
Period3/11/187/11/18

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

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