Identification of Future Skills Using Data-Driven Methods: A Systematic Literature Review and Directions for Future Research

Abstract

The labor market is rapidly changing due to swift technological progress, economic disruptions, and societal demands, leading to frequent job transitions and skill disruptions. Understanding the skills required to tackle future challenges, commonly referred to as future skills, is of paramount importance. The availability of accessible data and rapid technological advancements have given rise to an emerging research field focused on data-driven methods for identifying future skills. However, there is a lack of cumulative knowledge. By conducting a systematic review of 118 papers published in diverse interdisciplinary outlets, we examine and describe the applied analysis methods and research objectives, aiming to enhance understanding within this field of research. Furthermore, we identify four distinct directions for future research.