Big Data Analytics in Human Resource Management: Automated Decision-Making Processes, Predictive Hiring Algorithms, and Cutting-Edge Workplace Surveillance Technologies
Big Data Analytics in Human Resource Management: Automated Decision-Making Processes, Predictive Hiring Algorithms, and Cutting-Edge Workplace Surveillance Technologies
Author(s): Brent NoackSubject(s): Management and complex organizations
Published by: Addleton Academic Publishers
Keywords: big data analytics; human resource management; hiring algorithm;
Summary/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.
Journal: Psychosociological Issues in Human Resource Management
- Issue Year: 7/2019
- Issue No: 2
- Page Range: 37-42
- Page Count: 6
- Language: English
- Content File-PDF