"Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics"

by Gal, Uri; Jensen, Tina Blegind; Stein, Mari-Klara (2020)

Abstract

The increasing use of People Analytics to manage people in organizations ushers in an era of algorithmic management. People analytics are said to allow decision-makers to make evidence-based, bias-free, and objective decisions, and expand workers' opportunities for personal and professional growth. Drawing on a virtue ethics approach, we argue that the use of people analytics in organizations can create a vicious cycle of ethical challenges - algorithmic opacity, datafication, and nudging - which limit people's ability to cultivate their virtue and flourish. We propose that organizations can mitigate these challenges and help workers develop their virtue by reframing people analytics as a fallible companion technology, introducing new organizational roles and practices, and adopting alternative technology design principles. We discuss the implications of this approach for organizations and for the design of people analytics, and propose directions for future research.

Keywords

Virtue Ethics, Big Data, Algorithmic Managment, Employment, Artificial Intelligence, Technology, Worker Performance, Human Resources, Management

Themes

Employment, Algorithms, Automation

Links to Reference

• https://www.sciencedirect.com/science/article/pii/S1471772720300257
• http://dx.doi.org/10.1016/j.infoandorg.2020.100301
• https://www.sciencedirect.com/science/article/pii/S1471772720300257?casa_token=6fZt1xr51DMAAAAA:8XYCLlc2RqOsPy9IBKVl7FTtqjTsqYahKvtFojH_u5kFmhHAPEioyna6CNv0FG-eL6ICVYB6

Citation

Share

How to contribute.