Europe’s future – a model for assessing and increasing digital sovereignty
eBook - PDF

Europe’s future – a model for assessing and increasing digital sovereignty

,
  1. 272 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Europe’s future – a model for assessing and increasing digital sovereignty

,

About this book

Die Dissertation "Europe's future – a model for assessing and increasing digital sovereignty" von Martin Kaloudis an der Mendel University in Brno beschäftigt sich mit der digitalen Souveränität europäischer Staaten. Sie thematisiert die Abhängigkeit der EU-Staaten von Technologien und Rohstoffen aus Nicht-EU-Ländern, insbesondere die Abhängigkeit von digitalen Technologien aus China und den USA, und untersucht mögliche Stellhebel zur Beherrschbarkeit von Abhängigkeiten von nicht-europäischen Technologien. Die Dissertation entwickelt ein Modell zur Bewertung der digitalen Souveränität, fokussiert auf die EU, und schlägt eine Definition des Begriffs vor. Ein wichtiger Bestandteil ist ein komparativer Index für digitale Souveränität, der auf sekundären Daten basiert und mittels quantitativer Methoden verifiziert und validiert wird. Die Ergebnisse des Indexes zeigen, dass EU-Staaten in Sachen digitaler Souveränität Entwicklungspotenziale haben. Aus der Analyse werden handlungsleitende Maßnahmen abgeleitet, wie etwa höhere Investitionen in Start-ups, Förderung des Exports von IKT-Dienstleistungen und Verringerung von Handelsbarrieren im digitalen Bereich. Die Dissertation betont, dass die konsequente Umsetzung dieser Maßnahmen zur Stärkung der digitalen Souveränität der EU-Staaten beitragen kann.

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Information

eBook ISBN
9783736969810
Edition
0

Table of contents

  1. 1. Introduction
  2. 2. Literature research
  3. 2.1. Sovereign digitalisation, or digital sovereignty of the state
  4. 2.2. Technologisation and the role of the state
  5. 2.3. Digital Sovereignty ≠ Digitalisation + Sovereignty
  6. 2.4. Assignment to economic theories
  7. 2.5. Research gap
  8. 3. Objectives
  9. 4. Methodology
  10. 4.1. Research design
  11. 4.2. Structured interviews; qualitative research
  12. 4.3. Index development
  13. 4.4. Quantitative analysis: model bases
  14. 4.5. Selection of secondary data
  15. 4.6. Replacement methods for missing data
  16. 4.7. Normalisation methods
  17. 4.8. Appropriate weighting methods
  18. 4.9. Index aggregation methods
  19. 4.10. Methods of index and parameter analysis
  20. 4.11. Methods of uncertainty/sensitivity analysis
  21. 4.12. Verification and validation
  22. 5. Empirical analysis and results
  23. 5.1. Qualitative definition of digital sovereignty in the Europeancontext
  24. 5.2. Results of interviews
  25. 5.3. From quality to quantity: theoretical framework
  26. 5.4. Secondary data as a calculation basis for the sub-components
  27. 5.5. Summary of the data
  28. 5.6. Analysis of the data
  29. 5.7. Replacement of missing data
  30. 5.8. Normalisation
  31. 5.9. Weightings
  32. 5.10. Aggregation
  33. 5.11. Index formation DSI
  34. 5.12. Index validation, uncertainty and sensitivity analysis
  35. 5.13. Calculation of the DSI
  36. 5.14. Verification through simulation
  37. 5.15. Verification and validation through existing country indices
  38. 5.16. Analysis of individual states and clustering
  39. 5.17. Overarching view
  40. 6. Recommendations
  41. 6.1. Fields of Actions at individual state-level/individual analysis
  42. 6.2. Fields of Actions at individual state-level/group analysis
  43. 6.3. Optimum: joint initiative at EU-level
  44. 7. Discussion
  45. 7.1. Concept of digital sovereignty
  46. 7.2. Measurability of digital sovereignty
  47. 7.3. Comparison with other existing indices
  48. 7.4. Derivation of (political) recommendations
  49. 7.5. Limitations of the theoretical model
  50. 8. Conclusions
  51. References
  52. Appendix
  53. Questionnaire, long form
  54. Questions and answer patterns of the interviewees
  55. Answers in the structured interviews
  56. DSI score and ranks
  57. Scatter plot Xi
  58. Measures of determination Xi Mean and kNN imputation