Purpose This paper aims to contribute to the literature on human resources (HR)
digitalization, specifically on HR analytics, disentangling the concept of analytics applied to …

Purpose This study aims to analyze the existing literature in human resource analytics and
highlights the future research agenda and trends in the same context. It deals with …

A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

In this paper, we compare different methods to extract skill demand from the text of job
descriptions. We propose the fraction of wage variation explained by the extracted skills as a …

Context: Soft skills (eg, communication) significantly contribute to software project success.
Objective: We aim to understand (a) what are relevant soft skills in software engineering,(b) …

Since job characteristics in areas related to the green economy and Industry 4.0 are
changing rapidly, combined methodologies to measure the labour demand and supply are …

This paper aims to understand the characteristics of domestic big data jobs requirements
through k-means text clustering, help enterprises, and employees to identify big data talents …

Skill Classification (SC) is the task of classifying job competences from job postings. This
work is the first in SC applied to Danish job vacancy data. We release the first Danish job …

Software engineering is a continuously evolving sector and the demands of the related labor
market result in a wide variety of job openings, ranging from developers to customer service …

Labor market transformations significantly affect the sphere of information technologies (IT)
introducing new instruments, architectures, and frameworks. Employers operate with new …