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Publikationstyp: Beitrag in Magazin oder Zeitung
Titel: The challenges of algorithm-based HR decision-making for personal integrity
Autor/-in: Leicht-Deobald, Ulrich
Busch, Thorsten
Schank, Christoph
Weibel, Antoinette
Schafheitle, Simon
Wildhaber, Isabelle
Kasper, Gabriel
et. al: No
DOI: 10.1007/s10551-019-04204-w
10.21256/zhaw-25942
Erschienen in: Journal of Business Ethics
Band(Heft): 160
Heft: 2
Seite(n): 377
Seiten bis: 392
Erscheinungsdatum: 2019
Verlag / Hrsg. Institution: Springer
ISSN: 0167-4544
1573-0697
Sprache: Englisch
Schlagwörter: Algorithm-based decision-making; Critical algorithm study; Moral imagination; Personal integrity; Workplace monitoring
Fachgebiet (DDC): 005: Computerprogrammierung, Programme und Daten
658.3: Personalmanagement
Zusammenfassung: 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.
URI: https://digitalcollection.zhaw.ch/handle/11475/25942
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY 4.0: Namensnennung 4.0 International
Departement: School of Management and Law
Organisationseinheit: Center for Corporate Responsibility (CCR)
Enthalten in den Sammlungen:Publikationen School of Management and Law

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Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2019). The challenges of algorithm-based HR decision-making for personal integrity. Journal of Business Ethics, 160(2), 377–392. https://doi.org/10.1007/s10551-019-04204-w
Leicht-Deobald, U. et al. (2019) ‘The challenges of algorithm-based HR decision-making for personal integrity’, Journal of Business Ethics, 160(2), pp. 377–392. Available at: https://doi.org/10.1007/s10551-019-04204-w.
U. Leicht-Deobald et al., “The challenges of algorithm-based HR decision-making for personal integrity,” Journal of Business Ethics, vol. 160, no. 2, pp. 377–392, 2019, doi: 10.1007/s10551-019-04204-w.
LEICHT-DEOBALD, Ulrich, Thorsten BUSCH, Christoph SCHANK, Antoinette WEIBEL, Simon SCHAFHEITLE, Isabelle WILDHABER und Gabriel KASPER, 2019. The challenges of algorithm-based HR decision-making for personal integrity. Journal of Business Ethics. 2019. Bd. 160, Nr. 2, S. 377–392. DOI 10.1007/s10551-019-04204-w
Leicht-Deobald, Ulrich, Thorsten Busch, Christoph Schank, Antoinette Weibel, Simon Schafheitle, Isabelle Wildhaber, and Gabriel Kasper. 2019. “The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.” Journal of Business Ethics 160 (2): 377–92. https://doi.org/10.1007/s10551-019-04204-w.
Leicht-Deobald, Ulrich, et al. “The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.” Journal of Business Ethics, vol. 160, no. 2, 2019, pp. 377–92, https://doi.org/10.1007/s10551-019-04204-w.


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