This paper models digital skills dynamics in Hungary and the European Union with the use of Markov Chains, a new approach of capturing transitions between skill levels over time. Based on dataset from the Digital Economy and Society Index (DESI) for 2017–2022, the study reports large differences between Hungary and the EU averages in the fields of ICT training and specialization. Such trends and equilibriums give policymakers insights into the concrete actions needed to address skill gaps and further Hungary’s digital transformation. The results show the value of dynamic modeling in shaping future workforce strategies.
Co-Creation Session: Entrepreneurial Breakfast
A co-creation session within PAR’s traditional Entrepreneurial Breakfast was held on 28 March 2026, moderated by Prof. Sven Maričić, PhD, with participation of industry representatives, including the Croatian Chamber of Economy. The session brought together academia and business for an interactive exchange on entrepreneurship and innovation.
