Examining the Impact of Algorithmic Control on Uber Drivers' Technostress

Research output: Contribution to journalResearch articleContributedpeer-review



This study examines how the use of algorithmic control within gig economy platforms relates to the well-being and behavior of workers. Specifically, we explore how two different forms of algorithmic control—gatekeeping and guiding—correspond with (positive) challenge technostressors and (negative) threat technostressors experienced by Uber drivers. We also examine the moderating impact of algorithmic control transparency on these relationships, as well as the outcomes of technostressors in terms of continuance intentions and workaround use. Based on a survey of 621 U.S.-based Uber drivers, we find that gatekeeping and guiding algorithmic control positively relate to both challenge and threat technostressors. The study bridges the literature on control and technostress by conceptualizing algorithmic control as a condition that puts workers under stress. This stress is found to contribute to important behavioral consequences pertaining to both continuance intentions and workaround use. Findings from our work suggest that gig economy organizations can use algorithmic control to enhance challenge technostressors for their workers, thereby contributing to the cultivation of a more committed workforce. Furthermore, we find evidence disputing the assumption that algorithmic control transparency can mitigate the negative effects of threat technostressors.


Original languageEnglish
Pages (from-to)426-453
Number of pages28
JournalJournal of Management Information Systems
Issue number2
Publication statusPublished - 2022

External IDs

Scopus 85131376180
Mendeley 6e0f932f-fc91-387b-8f45-d9fef645881f
WOS 000807373300006
ORCID /0000-0001-6006-2594/work/142254301


DFG Classification of Subject Areas according to Review Boards


  • Algorithmic control, Uber drivers, algorithmic control transparency, challenge technostressors, gig economy, technostress, threat technostressors