Algorithmic Management: Bright and Dark Sides, Practical Implications, and Research Opportunities
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Publikationen von Forschenden. Benlian, Alexander; Wiener, Martin; Cram, W. Alec; Krasnova, Hanna; Maedche, Alexander; Möhlmann, Mareike; Recker, Jan; Remus, Ulrich: Algorithmic management : bright and dark sides, practical implications, and research opportunities. In: Business & information systems engineering. Springer, 2022
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Algorithmic systems can make coordination scalable, but they can also create opacity, information asymmetry, and contested control when their decisions are difficult to inspect.
“Algorithmic systems can make coordination scalable, but they can also create opacity, information asymmetry, and contested control when their decisions are difficult to inspect (Benlian et al., 2022).”
From Semantic Camouflage in Artificial Organizations: A Real-LLM Multi-Agent Simulation of Information Distortion and Audit (2026) · cites this paper as Benlian et al., 2022
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“Relatedly, other even more dystopian studies emphasize the vast power asymmetries and the looming precariousness enabled and cemented by algorithmic management (Spiekermann et al. 2022; Vallas and Schor 2020).”
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Algorithmic management in a work context
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“…can be very frustrating to the workers exposed to algorithmic instructions, causing them to experience uncertainties about their financial compensation, job assignments, or even the accuracy and fairness of algorithmic instructions they are exposed to (Gal et al. 2020; Jarrahi et al. 2021).”
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Self-citationExamining the Impact of Algorithmic Control on Uber Drivers’ Technostress
Cram, W. A., Wiener, M., Tarafdar, M., & Benlian, A. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2063556 · Cited by 246 · cited 2× · see citing works
“In fact, they may even be perceived as motivating and guiding, providing positive challenges to workers in terms of skill development and performance opportunities (Cram et al. 2022).”
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“While Uber provides the current go-to use case for algorithmic management, we have already seen algorithms carry out many managerial functions such as analytics (Gal et al. 2020), hiring, firing, and promotion (Ajunwa 2020), or coaching and giving performance feedback (Luo et al. 2021).”
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Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024) · Business & Information Systems Engineering · doi:10.1007/s12599-023-00834-7 · Cited by 1,409 · see citing works
“Further, in algorithmic management (Benlian et al., 2022; Cameron et al., 2023), it should be examined how existing theories and frameworks need to be contextualized or fundamentally extended in light of the increasingly powerful capabilities of generative AI.”
Digital governance: A conceptual framework and research agenda
Hanisch, M., Goldsby, C. M., Fabian, N. E., & Oehmichen, J. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113777 · Cited by 267 · see citing works
- Authors
- Benlian, A., Wiener, M., Cram, W. A., Krasnova, H., Maedche, A., Möhlmann, M., Recker, J., & Remus, U.
- Affiliations
- Technische Universität Darmstadt (DE)
- Technische Universität Dresden (DE)
- University of Waterloo (CA)
- University of Potsdam (DE)
- Karlsruhe Institute of Technology (DE)
- Bentley University (US)
- Universität Hamburg (DE)
- Universität Innsbruck (AT)
- Corresponding author
- Benlian, Alexander
- Wiener, Martin
- ORCID
- Venue
- Business & Information Systems Engineering
- Published
- 2022-08-01
- Volume
- 64
- Issue
- 6
- Pages
- 825-839
- ISSN
- 1867-0202 (ISSN-L)
- 2363-7005
- OpenAlex
- W4289337208
- Cited by
- 180
- References
- 17
- Citations by year
- 2026: 78 · 2025: 45 · 2024: 41 · 2023: 14 · 2022: 2
- FWCI
- 36.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Business & Information Systems Engineering (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Digital Library of the University of Innsbruck (University of Innsbruck) (submittedVersion, cc-by)
- Econstor (Econstor) (submittedVersion, cc-by)
- publish.UP (University of Potsdam) (submittedVersion, cc-by)
- Universität Potsdam (cc-by)
- Funders
- Technische Universität Darmstadt
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Keywords
- algorithmic management, algorithmic decision-making, practical implications, research opportunities
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