Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

Purpose This 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 …

How does organizational decision-making change with the advent of artificial intelligence
(AI)-based decision-making algorithms? This article identifies the idiosyncrasies of human …

In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …

This research analyzes how digital technologies contribute to improving the successive
stages of the recruitment process: identifying, selecting, and retaining talented people. E …

Purpose The purpose of this study is to contribute to the knowledge on the opportunities and
risks in the use of artificial intelligence (AI) in recruitment and selection by exploring the …

In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

Professional social media platforms (PSMPs) have induced dynamic changes in traditional
job markets by increasing online recruitment practices. Subsequently, the search procedure …

Human resource information systems have enhanced monitoring, documenting, and
recording functions for organizations, and consequently have accelerated swift completion …

Technological advancements allow the automation of every part of job interviews
(information acquisition, information analysis, action selection, action implementation) …