Chapter 7: Machine learning in HR staffing

Meier F, Laumer S (2022)

Publication Language: English

Publication Type: Book chapter / Article in edited volumes

Publication year: 2022

Publisher: Edward Elgar Publishing

Edited Volumes: Handbook of Research on Artificial Intelligence in Human Resource Management

City/Town: Cheltenham, UK

Pages Range: 127–148

ISBN: 9781839107528


DOI: 10.4337/9781839107535


Effective human resources management (HRM) is a key component that firms need to establish in the modern economy. One task of HRM is staffing employees to open vacancies guided by organizational needs and requirements. However, human resources (HR) staffing comprises the net employee requirements necessary for day-to-day business and reserve requirements to cope with employee workplace absenteeism. Furthermore, staffing includes the available number of employees, subject to additional hires and employee attrition. Recent studies expounded the possible supportive role of modern technologies, such as Machine Learning (ML), for HR staffing tasks. In this chapter, we report a systematic literature review based on 65 pieces to elaborate the usage of ML in HR staffing. We focus on the prediction of net requirements and absenteeism, as well as hires and attrition. This investigation brought forth a dysbalance in the focus of conducted research, as most authors focus on predicting employee attrition, while only a few regard new hires. Additionally, no single best-suited ML method is prominent in HR staffing, as the predictions base on the availability of different data- and feature sizes. A majority of the reviewed papers solely use publicly available HR data for their predictions, limiting the real-world likelihood of actual work-related human behavior predictions.

Authors with CRIS profile

How to cite


Meier, F., & Laumer, S. (2022). Chapter 7: Machine learning in HR staffing. In Handbook of Research on Artificial Intelligence in Human Resource Management. (pp. 127–148). Cheltenham, UK: Edward Elgar Publishing.


Meier, Florian, and Sven Laumer. "Chapter 7: Machine learning in HR staffing." Handbook of Research on Artificial Intelligence in Human Resource Management. Cheltenham, UK: Edward Elgar Publishing, 2022. 127–148.

BibTeX: Download