ABSTRACT. This article reviews and advances existing literature concerning the relationship between sensory algorithmic devices, intrusive workplace monitoring, and employee surveillance. Using and replicating data from Bright & Company, Corporate Research Forum, Deloitte, HR Tech World, IBM, McKinsey, Top Employers Institute, and US Bureau of Labor Statistics, I performed analyses and made estimates regarding contributors to success with data and analytics. Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: automated data analysis; workplace monitoring; employee surveillance

How to cite: Balica, Raluca (2019). “Automated Data Analysis in Organizations: Sensory Algorithmic Devices, Intrusive Workplace Monitoring, and Employee Surveillance,” Psychosociological Issues in Human Resource Management 7(2): 61–66. doi:10.22381/PIHRM72201910

Received 12 July 2019 • Received in revised form 17 September 2019
Accepted 20 September 2019 • Available online 11 October 2019