This project aims to provide data-driven (evidence-based) solutions at both the macro and organizational levels to reduce high job turnover rates among Information Technology (IT) professionals. Europe faces a shortage of IT professionals, according to the European Union Digital Decade Agenda. Despite targeting 20 million IT professionals by 2030, the actual realization is only around half of the target. Additionally, at the organizational level, when an IT employee departs, the financial impact is up to 6 times higher than for other professionals. In these circumstances, satisfying current employees and absorbing additional IT specialists are essential to meet the needs of industrial ecosystems.

This fellowship aims to identify the critical determinants of job mobility among IT professionals in the EU. This study is interdisciplinary research spanning economics, statistics, and AI. As a research project in big data analytics, the project uses a hybrid approach that comprehensively assesses environmental, organizational, and individual factors within a multilevel model by combining panel data econometrics and machine learning techniques. Considering these factors, the results recommend public-sector policies and organizational strategies to retain these valuable employees. By implementing these recommendations, policymakers and organizations can create a more attractive IT work environment, ultimately reducing turnover in companies, especially big IT companies. In addition, governments would be able to create a more sustainable environment for digital transformation at the macroeconomic level.