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Cited by 348Ethics and Social Impacts of AIAI and HR TechnologiesLegal and Labor Studies

The DOI matches its Crossref record; 148 of the 151 references it cites were found in a registry or an index.

The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity

Open access
Leicht-Deobald, Ulrich, Busch, Thorsten, Schank, Christoph, Weibel, Antoinette, Schafheitle, Simon, Wildhaber, Isabelle, Kasper, Gabriel·2019·Journal of Business Ethics
DOI 10.1007/s10551-019-04204-wPMC PMC6868110
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Abstract

Organizations increasingly rely on algorithm-based HR decision-making to monitor their employees. This trend is reinforced by the technology industry claiming that its decision-making tools are efficient and objective, downplaying their potential biases. In our manuscript, we identify an important challenge arising from the efficiency-driven logic of algorithm-based HR decision-making, namely that it may shift the delicate balance between employees' personal integrity and compliance more in the direction of compliance. We suggest that critical data literacy, ethical awareness, the use of participatory design methods, and private regulatory regimes within civil society can help overcome these challenges. Our paper contributes to literature on workplace monitoring, critical data studies, personal integrity, and literature at the intersection between HR management and corporate responsibility.

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Research works printed but not linked: 19

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Metadata

Authors
Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G.
Affiliations
  • University of St.Gallen (CH)
  • University of Vechta (DE)
ORCID
Venue
Journal of Business Ethics
Publisher
Springer Science and Business Media LLC
Published
2019-06-07
Volume
160
Issue
2
Pages
377-392
ISSN
  • 0167-4544 (ISSN-L)
  • 1573-0697
DOI
10.1007/s10551-019-04204-w
PMC
PMC6868110
OpenAlex
W2948100573
Cited by
347
References
151
Citations by year
2026: 82 · 2025: 73 · 2024: 50 · 2023: 43 · 2022: 53 · 2021: 34 · 2020: 11 · 2019: 1
FWCI
43.30
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Business Ethics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Alexandria (UniSG) (University of St.Gallen) (acceptedVersion)
  • KOPS (University of Konstanz) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
  • Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) (submittedVersion, cc-by-nc-nd)
Funders
Swiss National Science Foundation (407540_167208)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
Keywords
algorithmic decision-making, human resource management, personal integrity, workplace monitoring, employee compliance, algorithmic bias, critical data literacy, moral consciousness, participatory design, corporate social responsibility, critical data studies

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