The master's thesis explores the possibilities of developing a digital platform for forecasting labour market needs in Slovenia, with a focus on its functionalities, technological requirements, and implementation challenges. The aim of the research was to analyse key aspects of a digital platform that would enable better alignment between labour supply and demand. The theoretical section examines methodologies for labour market forecasting, global and local employment trends, and the impact of automation and digitalization on jobs. Existing international and national platforms were also analyzed to identify best practices. The empirical part is based on a survey among potential platform users and interviews with experts from the Ministry of Labor, Family, Social Affairs, and Equal Opportunities. The results indicate that the platform would be highly beneficial for job seekers, employers, and educational institutions if it offered personalized forecasts, skills analysis, training recommendations, and connections with employers. The platform should be based on advanced technologies such as artificial intelligence, big data analytics, and machine learning, enabling more accurate forecasting and adaptable information for different users. This would improve labor market responsiveness and support evidence-based decision-making for all stakeholders.
|
