The challenges of algorithm-based HR decision-making for personal integrity

Leicht-Deobald, Ulrich; Busch, Thorsten; Schank, Christoph; Weibel, Antoinette; Schafheitle, Simon; Wildhaber, Isabelle; Kasper, Gabriel

doi:10.1007/s10551-019-04204-w

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25942

Publication type:	Contribution to magazine or newspaper
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/s10551-019-04204-w 10.21256/zhaw-25942
Published in:	Journal of Business Ethics
Volume(Issue):	160
Issue:	2
Page(s):	377
Pages to:	392
Issue Date:	2019
Publisher / Ed. Institution:	Springer
ISSN:	0167-4544 1573-0697
Language:	English
Subjects:	Algorithm-based decision-making; Critical algorithm study; Moral imagination; Personal integrity; Workplace monitoring
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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/25942
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
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. (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.