Year: 2025
Type: article
Abstract: Purpose. The article addresses the problem of identifying and classifying workforce competencies in the context of the digital economy. The objective is to identify the core components of “digital economy competencies” and construct a competency model relevant to the digital labor market. It is hypothesized that defining these core competencies will facilitate the creation of a model aligned with external demands and societal expectations. Design/methodology/approach. The research is based on a comprehensive analysis of academic literature and empirical data, employing the categorical methodology known as the “Finite Information Flow” method. Findings. The study identified a set of essential competencies for the digital economy, structured them into a competency model, and demonstrated that the model reflects the evolutionary development of competencies within an organization’s qualification system. The model includes four logical levels of development. Originality. The proposed model captures the dynamic nature of digital competencies and offers broad applicability for further research into competency development mechanisms, structural relationships among competencies, and the enabling and limiting factors of digital labor market transformation. Key words: categorical method "final information flow", key competencies, digital economy
Institution: Sarsen Amanzholov East Kazakhstan University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4411536214