ABSTRACT. The purpose of this study was to empirically examine digital means of tracking, monitoring, and surveilling worker activities. Building my argument by drawing on data collected from Bright & Company, Corporate Research Forum, Deloitte, HR Tech World, IBM, Management Events, McKinsey, Montage, PwC, and Top Employers Institute, I performed analyses and made estimates regarding how organizational structure changes as a result of adopting automation and artificial intelligence technologies (%). The structural equation modeling technique was used to test the research model.
JEL codes: E24; J21; J54; J64

Keywords: data analytics; tracking; monitoring; surveillance; employee

How to cite: Olsen, Mark (2019). “Using Data Analytics in the Management of Employees: Digital Means of Tracking, Monitoring, and Surveilling Worker Activities,” Psychosociological Issues in Human Resource Management 7(2): 43–48. doi:10.22381/PIHRM7220197

Received 24 July 2019 • Received in revised form 15 September 2019
Accepted 20 September 2019 • Available online 11 October 2019

Mark Olsen
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Center for Algorithmic Labor
at ISBDA, Copenhagen, Denmark

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