ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on big data analytics in human resource management. The data used for this study was obtained and replicated from previous research conducted by Bright & Company, Corporate Research Forum, Deloitte, HR Tech World, IBM, LinkedIn, Management Events, McKinsey, and Top Employers Institute. I performed analyses and made estimates regarding structural design changes to cope with the realities of shifting skill needs (%), levels of analytics readiness (%), and companies applying analytics in human resources by industry (%). Data collected from 4,800 respondents are tested against the research model by using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: big data analytics; human resource management; hiring algorithm

How to cite: Noack, Brent (2019). “Big Data Analytics in Human Resource Management: Automated Decision-Making Processes, Predictive Hiring Algorithms, and Cutting-Edge Workplace Surveillance Technologies,” Psychosociological Issues in Human Resource Management 7(2): 37–42. doi:10.22381/PIHRM7220196

Received 7 July 2019 • Received in revised form 12 September 2019
Accepted 14 September 2019 • Available online 11 October 2019

Brent Noack
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Networked Governance Research Unit
at CLI, Ottawa, Canada

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