Measuring the Acceptability of Facial Recognition-Enabled Work Surveillance Cameras in the Public and Private Sector. Issue 1 (2nd January 2022)
- Record Type:
- Journal Article
- Title:
- Measuring the Acceptability of Facial Recognition-Enabled Work Surveillance Cameras in the Public and Private Sector. Issue 1 (2nd January 2022)
- Main Title:
- Measuring the Acceptability of Facial Recognition-Enabled Work Surveillance Cameras in the Public and Private Sector
- Authors:
- Doberstein, Carey
Charbonneau, Étienne
Morin, Geneviève
Despatie, Sarah - Abstract:
- Abstract: Electronic performance monitoring is expanding rapidly in public and private sector environments amidst evidence that when privacy concerns are raised by employees in arbitration and judicial proceedings, there is limited empirical foundation for what constitutes a reasonable expectation of privacy among everyday citizens. This study replicates and expands on Rainie and Duggan's U.S. study of the acceptability of facial recognition-enabled camera surveillance in the workplace with three separate Canadian survey sample populations. We find that private sector workers tolerate cameras in the workplace more than public sector workers and that the younger age cohort, for both private and public sector workers, is more likely to tolerate cameras in the workplace than the older cohort. Further, through analysis of qualitative comments among those ambivalent about camera surveillance at work, we find that concerns over transparency, safety and authoritarianism were the most frequent themes. These results point to the considerations employers must face for surveillance practices to be viewed as reasonable by employees in both public and private sectors.
- Is Part Of:
- Public performance & management review. Volume 45:Issue 1(2022)
- Journal:
- Public performance & management review
- Issue:
- Volume 45:Issue 1(2022)
- Issue Display:
- Volume 45, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 45
- Issue:
- 1
- Issue Sort Value:
- 2022-0045-0001-0000
- Page Start:
- 198
- Page End:
- 227
- Publication Date:
- 2022-01-02
- Subjects:
- Facial recognition -- electronic performance monitoring -- privacy -- surveillance cameras -- work surveillance
Civil service -- Labor productivity -- Periodicals
Civil service -- Labor productivity -- United States -- Periodicals
Government productivity -- Periodicals
Government productivity -- United States -- Periodicals
Public administration -- Periodicals
Public administration -- United States -- Periodicals
Civil service -- Labor productivity
Government productivity
Public administration
United States
Periodicals
351.05 - Journal URLs:
- http://www.jstor.org/journals/15309576.html ↗
http://www.mesharpe.com/mall/results1.asp?ACR=PMR ↗
http://firstsearch.oclc.org/journal=1530-9576;screen=info;ECOIP ↗
http://www.tandfonline.com/toc/mpmr20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15309576.2021.1931374 ↗
- Languages:
- English
- ISSNs:
- 1530-9576
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6967.887000
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- 26481.xml