Hands on the Wheel: Navigating Algorithmic Management and Uber Drivers' Autonomy

Mareike Mohlmann, Lior Zalmanson

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

10 Scopus citations

Abstract

With the rise of big data and networking capabilities, information systems can now automate management practices and perform complex tasks that were previously the responsibility of middle or upper management. These new practices, known as “algorithmic management,� have been applied by ride-hailing platforms such as Uber, whose business model is dependent on overseeing, managing, and controlling myriads of self-employed workers. This study seeks to understand this phenomenon from an information systems management perspective, highlighting the inherent paradox between workers’ sense of autonomy and these systems’ need of control. The paper offers a conceptualization of algorithmic management and employs interviews with Uber drivers and forum data to identify a series of mechanisms that drivers use to regain their autonomy under algorithmic management, including guessing, resisting, switching, and gaming the Uber system.

Original languageEnglish
Title of host publicationICIS 2017
Subtitle of host publicationTransforming Society with Digital Innovation
PublisherAssociation for Information Systems
ISBN (Print)9780996683159
StatePublished - 2018
Externally publishedYes
Event38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017 - Seoul, Korea, Republic of
Duration: 10 Dec 201713 Dec 2017

Publication series

NameICIS 2017: Transforming Society with Digital Innovation

Conference

Conference38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017
Country/TerritoryKorea, Republic of
CitySeoul
Period10/12/1713/12/17

Keywords

  • Algorithmic Management
  • Autonomy
  • Control
  • Sharing Economy
  • Uber

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