Big Data-driven Algorithmic Decision-Making in Selecting and Managing Employees: Advanced Predictive Analytics, Workforce Metrics, and Digital Innovations for Enhancing Organizational Human Capital
Big Data-driven Algorithmic Decision-Making in Selecting and Managing Employees: Advanced Predictive Analytics, Workforce Metrics, and Digital Innovations for Enhancing Organizational Human Capital
Author(s): Thomas D. Meyers, Ladislav Vagner, Katarina Janoskova, Iulia Grecu, Gheorghe GrecuSubject(s): Management and complex organizations
Published by: Addleton Academic Publishers
Keywords: predictive analytics; workforce metrics; organizational human capital;
Summary/Abstract: Employing recent research results covering big data-driven algorithmic decision-making in selecting and managing employees, and building our argument by drawing on data collected from Bright & Company, Corporate Research Forum, Deloitte, Management Events, McKinsey, and Top Employers Institute, we performed analyses and made estimates regarding data-driven approaches in organizations. Structural equation modeling was used to analyze the collected data.
Journal: Psychosociological Issues in Human Resource Management
- Issue Year: 7/2019
- Issue No: 2
- Page Range: 49-54
- Page Count: 6
- Language: English
- Content File-PDF