Validating the usage of Occupational Classification Systems in the Process of Creating a National Virtual Competency Assistant within the EU Labor Market

Abstract

Despite many national and international classification systems and organizational competency models being developed, there is still a lot of resource intensive manual workload dependent on career counselors and human resource departments. With the growing mismatch between labor market demand and supply, we aim to establish an initial concept for building a virtual competency assistant that uses European occupational taxonomy adopted on national level. Although Estonia's digital government ecosystem is widely known with its paperless management and broad use of e-services, its citizens lack proactive e-services related to career development. This paper validates current developments in the field of occupational classification systems associated to the Estonian Unemployment Insurance Fund through providing initial results gathered with qualitative methods. The results show that the existing e-service for the unemployed citizens of Estonia is not using modern automated methods that provide analysis of citizen's data and offer suitable trainings or job offers. The research offers initial findings in the process of advancing personal career developments of the EU citizens with proactive e-services while maintaining labor data interoperability across the EU.