Stanisław Mazur is Professor and Rector of the Krakow University of Economics (KUE), Krakow, Poland, and Leader of the research project on 'Socio-economic Consequences of the Fourth Industrial Revolution' (REV 4.0).

• Introduction 1. Developing competencies for the future 2. New managerial competencies in Economy 4.0 3. The Impact of the Fourth Industrial Revolution and Contemporary Megatrends on theProduction and Distribution of Public Goods and Services 4. The Impact of the Fourth Industrial Revolution on the Global Business Services Sector5. Studying Management Complexity in Industry 4.0: a conceptual framework 6.The Fourth Industrial Revolution as an Opportunity for the Development of a Circular Economy 7. Flexible Forms of Employment in the Age of Digital Transformation 8. The Efficiency of Financial Markets in a Data-Rich Environment - A Perspective of the Fourth Industrial Revolution 9. A Review of the Concept of Random Elements and Data Types in the Context of Machine Learning, MCDM, and Graph Models 10. Data Governance: The State, the Market, and the Commons in the Era of the Fourth Industrial Revolution Conclusions

Stanisław Mazur is Professor and Rector of the Krakow University of Economics (KUE), Krakow, Poland, and Leader of the research project on 'Socio-economic Consequences of the Fourth Industrial Revolution' (REV 4.0).

• Introduction 1. Developing competencies for the future 2. New managerial competencies in Economy 4.0 3. The Impact of the Fourth Industrial Revolution and Contemporary Megatrends on theProduction and Distribution of Public Goods and Services 4. The Impact of the Fourth Industrial Revolution on the Global Business Services Sector5. Studying Management Complexity in Industry 4.0: a conceptual framework 6.The Fourth Industrial Revolution as an Opportunity for the Development of a Circular Economy 7. Flexible Forms of Employment in the Age of Digital Transformation 8. The Efficiency of Financial Markets in a Data-Rich Environment - A Perspective of the Fourth Industrial Revolution 9. A Review of the Concept of Random Elements and Data Types in the Context of Machine Learning, MCDM, and Graph Models 10. Data Governance: The State, the Market, and the Commons in the Era of the Fourth Industrial Revolution Conclusions