Algorithmic management in a work context

The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig ec...

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Vydáno v:Big data & society Ročník 8; číslo 2
Hlavní autoři: Jarrahi, Mohammad Hossein, Newlands, Gemma, Lee, Min Kyung, Wolf, Christine T., Kinder, Eliscia, Sutherland, Will
Médium: Journal Article
Jazyk:angličtina
Vydáno: London, England SAGE Publications 01.07.2021
Sage Publications Ltd
SAGE Publishing
Témata:
Accountability
Algorithms
Artificial intelligence
Attitudes
Automation
Gig economy
Information sharing
Machine learning
Management
Organizational power
Power
Power structure
Social power
Social structure
Work environment
power dynamics
algorithmic management
opacity
Algorithmic competencies
future of work
artificial intelligence
ISSN:2053-9517, 2053-9517
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Abstract The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.
AbstractList The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify three key issues. First, we explore how algorithmic management shapes pre-existing power dynamics between workers and managers. Second, we discuss how algorithmic management demands new roles and competencies while also fostering oppositional attitudes toward algorithms. Third, we explain how algorithmic management impacts knowledge and information exchange within an organization, unpacking the concept of opacity on both a technical and organizational level. We conclude by situating this piece in broader discussions on the future of work, accountability, and identifying future research steps.
Author Sutherland, Will
Kinder, Eliscia
Jarrahi, Mohammad Hossein
Newlands, Gemma
Lee, Min Kyung
Wolf, Christine T.
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  surname: Newlands
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  givenname: Min Kyung
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  givenname: Christine T.
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  organization: Independent Researcher, San Jose, CA, USA
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  surname: Sutherland
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  organization: University of Washington, Seattle, WA, USA
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Issue 2
Keywords power dynamics
algorithmic management
opacity
Algorithmic competencies
future of work
artificial intelligence
Language English
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PublicationCentury 2000
PublicationDate 2021-07-01
PublicationDateYYYYMMDD 2021-07-01
PublicationDate_xml – month: 07
  year: 2021
  text: 2021-07-01
  day: 01
PublicationDecade 2020
PublicationPlace London, England
PublicationPlace_xml – name: London, England
– name: London
PublicationTitle Big data & society
PublicationYear 2021
Publisher SAGE Publications
Sage Publications Ltd
SAGE Publishing
Publisher_xml – name: SAGE Publications
– name: Sage Publications Ltd
– name: SAGE Publishing
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Snippet The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the...
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SubjectTerms Accountability
Algorithms
Artificial intelligence
Attitudes
Automation
Gig economy
Information sharing
Machine learning
Management
Organizational power
Power
Power structure
Social power
Social structure
Work environment
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Title Algorithmic management in a work context
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