The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity
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 c...
| Authors: | ; ; ; ; ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Springer Science + Business Media B. V
2019
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| In: |
Journal of business ethics
Year: 2019, Volume: 160, Issue: 2, Pages: 377-392 |
| Further subjects: | B
personal integrity
B Moral Imagination B Algorithm-based decision-making B Critical algorithm studies B Workplace monitoring |
| Online Access: |
Volltext (kostenfrei) |
| Summary: | 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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| ISSN: | 1573-0697 |
| Contains: | Enthalten in: Journal of business ethics
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| Persistent identifiers: | DOI: 10.1007/s10551-019-04204-w |