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