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  4. Workplace Surveillance and Big Data: Contextualizing Digital Threats to Employees Moral Agency and Integrity
 
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Workplace Surveillance and Big Data: Contextualizing Digital Threats to Employees Moral Agency and Integrity

ISSN
2638-4892
ISBN
2638-4892
Type
conference paper
Date Issued
2018
Author(s)
Busch, Thorsten
Schank, Christoph
Leicht-Deobald, Ulrich
Weibel, Antoinette
Schafheitle, Simon Daniel
Kasper, Gabriel
Wildhaber, Isabelle
Abstract (De)
Big Data promises to make workplace monitoring more effective and efficient. This paper thus describes Big Data-based Human Resources (HR) analytics solutions and problematizes two ethical challenges that HR departments are faced with today: First, the cultural context that technology companies produce Big Data solutions in leads to biases and business models that influence analytics software in many problematic ways. Second, when HR analytics software is implemented within organizations, the quantitative logic of Big Data threatens to crowd out employees moral agency and integrity in favor of compliance and control. Therefore, we suggest that HR management requires increased ethical awareness, critical data literacy, and the willingness to have employees participate in value-sensitive design methods along every stage of the implementation process of workplace surveillance software.
Project(s)
Big Data or Big Brother ? - Big Data HR Control Practices and Employee Trust
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher
Academy of Management Global Proceedings
Publisher place
Surrey (UK)
Volume
2018
Event Title
Academy of Management Specialized Conference on Big Data and Managing in a Digital Economy
Event Location
Surrey, United Kingdom
Event Date
April, 18-20
Official URL
https://journals.aom.org/doi/10.5465/amgblproc.surrey.2018.0129.abs
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/101024
Subject(s)
  • social sciences

  • business studies

Division(s)
  • I.FPM - Institute for...

  • IWE - Institute for B...

  • FAA - Institute for W...

Eprints ID
256160
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