A review of machine learning applications in human resource management

Abstract

PurposeThis paper reviews 105 Scopus-indexed articles to identify the degree, scope and purposes of machine learning (ML) adoption in the core functions of human resource management (HRM).Design/methodology/approachA semi-systematic approach has been used in this review. It allows for a more detailed analysis of the literature which emerges from multiple disciplines and uses different methods and theoretical frameworks. Since ML research comes from multiple disciplines and consists of several methods, a semi-systematic approach to literature review was considered appropriate.FindingsThe review suggests that HRM has embraced ML, albeit it is at a nascent stage and is receiving attention largely from technology-oriented researchers. ML applications are strongest in the areas of recruitment and performance management and the use of decision trees and text-mining algorithms for classification dominate all functions of HRM. For complex processes, ML applications are still at an early stage; requiring HR experts and ML specialists to work together.Originality/valueGiven the current focus of organizations on digitalization, this review contributes significantly to the understanding of the current state of ML integration in HRM. Along with increasing efficiency and effectiveness of HRM functions, ML applications improve employees' experience and facilitate performance in the organizations.

(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis

“…Our study focused on "data" and "analyses" as elements since these are regularly understood as core technical conditions of HRA success (e.g. Garcia-Arroyo and Osca, 2021; Garg et al, 2021). As we employed general characteristics of data and analyses, a first expansion refers to concretizing the type of data (for instance structured vs unstructured types) and analyses (for instance predictive vs prescriptive types) that cause HRA success.…”

Working With Robots: Human Resource Development Considerations in Human–Robot Interaction

“…Collaboration with advanced AI-based robots suggests a mutual learning model that includes how employees communicate, learn, and train their collaborative robots. To date, HR scholarly interest in AI technology has focused on how to utilize machine learning for HR activities, such as assessing individuals, predicting performance, identifying training needs, measuring training effectiveness, and identifying teamwork patterns (Garg et al;. This approach exemplifies how scholars view technology as a supporting tool in Bennett's (2014) typology.…”

Application of machine learning algorithm in the sheet metal industry: an exploratory case study

“…Machine learning-based algorithms have also been applied to manage the human resource systems of intelligent manufacturing industry. The application of machine learning in human resource management in enterprises has been investigated by matching, screening and filtering the user's job characteristics and the employee's requirements with the objective of improving the effective pursuit of the most suitable goals for both users and enterprises (Xie 2020;Garg et al 2021).…”