| Publication type: | Book part |
| Type of review: | Editorial review |
| Title: | The challenges of algorithm-based HR decision-making for personal integrity |
| Authors: | Leicht-Deobald, Ulrich Busch, Thorsten Schank, Christoph Weibel, Antoinette Schafheitle, Simon Wildhaber, Isabelle Kasper, Gabriel |
| et. al: | No |
| DOI: | 10.1007/978-3-031-18794-0_5 |
| Published in: | Business and the Ethical Implications of Technology |
| Editors of the parent work: | Martin, Kirsten Shilton, Katie Smith, Jeffrey |
| Page(s): | 71 |
| Pages to: | 86 |
| Issue Date: | 2022 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-031-18793-3 978-3-031-18794-0 |
| Language: | English |
| Subjects: | Algorithm-based decision-making; Personal integrity; Moral imagination; Critical algorithm studies; Workplace monitoring; Digitalisierung; Personal |
| Subject (DDC): | 005: Computer programming, programs and data 658.3: Human resource management |
| 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. |
| Further description: | Reprint von einem Artikel, der 2019 open access in Journal of Business Ethics erschienen ist: https://doi.org/10.1007/s10551-019-04204-w |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29127 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Management and Law |
| Organisational Unit: | Center for Corporate Responsibility (CCR) |
| Appears in collections: | 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. (2022). The challenges of algorithm-based HR decision-making for personal integrity. In K. Martin, K. Shilton, & J. Smith (Eds.), Business and the Ethical Implications of Technology (pp. 71–86). Springer. https://doi.org/10.1007/978-3-031-18794-0_5
Leicht-Deobald, U. et al. (2022) ‘The challenges of algorithm-based HR decision-making for personal integrity’, in K. Martin, K. Shilton, and J. Smith (eds) Business and the Ethical Implications of Technology. Cham: Springer, pp. 71–86. Available at: https://doi.org/10.1007/978-3-031-18794-0_5.
U. Leicht-Deobald et al., “The challenges of algorithm-based HR decision-making for personal integrity,” in Business and the Ethical Implications of Technology, K. Martin, K. Shilton, and J. Smith, Eds. Cham: Springer, 2022, pp. 71–86. doi: 10.1007/978-3-031-18794-0_5.
LEICHT-DEOBALD, Ulrich, Thorsten BUSCH, Christoph SCHANK, Antoinette WEIBEL, Simon SCHAFHEITLE, Isabelle WILDHABER und Gabriel KASPER, 2022. The challenges of algorithm-based HR decision-making for personal integrity. In: Kirsten MARTIN, Katie SHILTON und Jeffrey SMITH (Hrsg.), Business and the Ethical Implications of Technology. Cham: Springer. S. 71–86. ISBN 978-3-031-18793-3
Leicht-Deobald, Ulrich, Thorsten Busch, Christoph Schank, Antoinette Weibel, Simon Schafheitle, Isabelle Wildhaber, and Gabriel Kasper. 2022. “The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.” In Business and the Ethical Implications of Technology, edited by Kirsten Martin, Katie Shilton, and Jeffrey Smith, 71–86. Cham: Springer. https://doi.org/10.1007/978-3-031-18794-0_5.
Leicht-Deobald, Ulrich, et al. “The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.” Business and the Ethical Implications of Technology, edited by Kirsten Martin et al., Springer, 2022, pp. 71–86, https://doi.org/10.1007/978-3-031-18794-0_5.
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