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...

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Bibliographic Details
Published in:Journal of business ethics Vol. 160; no. 2; pp. 377 - 392
Main Authors: Leicht-Deobald, Ulrich, Busch, Thorsten, Schank, Christoph, Weibel, Antoinette, Schafheitle, Simon, Wildhaber, Isabelle, Kasper, Gabriel
Format: Journal Article
Language:English
Published: Dordrecht Springer 01.12.2019
Springer Netherlands
Springer Nature B.V
Subjects:
Algorithms
Bias
Business and Management
Business Ethics
Civil society
Compliance
Data analysis
Decision making
Education
Employee behavior
Employees
Ethics
Information literacy
Literacy
Literary criticism
Management
Morality
Original Paper
Philosophy
Quality of Life Research
Regulation
Social responsibility
Technology
Workplaces
Critical algorithm studies
Moral imagination
Personal integrity
Workplace monitoring
Algorithm-based decision-making
ISSN:0167-4544, 1573-0697
Online Access:Get full text
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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:0167-4544
1573-0697
DOI:10.1007/s10551-019-04204-w