The Relevance of Cluster Economics for the FinTech Industry. Theory and Analysis

Inhaltsverzeichnis (Table of Contents)

• Introduction
• Literature Review and Theoretical Framework
  • FinTech
    • Definition
    • FinTech Business Segments and Taxonomy
  • Economic Clusters
    • Theoretical Foundations
    • Porter's Diamond Model
    • FinTech Clusters
• Qualitative Analysis
  • Conceptualization of FinTech Clusters
  • Application of Porter's Diamond Model to the FinTech Industry
• Quantitative Analysis
  • Overview of Variables and Data Sample
  • Regression Models
  • Discussion of Results
    • Model 1 Factor Conditions
    • Model 2 – Demand Conditions
    • Model 3 - Related and Supporting Industries
    • Model 4 - Strategy, Structure, and Rivalry
• Conclusion

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This paper examines the significance of economic clusters for the FinTech industry. The primary objective is to investigate the factors that contribute to the formation of FinTech clusters and their impact on the industry's growth. The paper builds upon previous research on this topic and provides a comprehensive analysis of the factors that can drive the agglomeration of FinTech companies.

• The emergence and development of FinTech clusters
• The application of Porter's Diamond Model to the FinTech industry
• The role of factors like specialized talent pools, universities, and accelerators in shaping FinTech clusters
• The influence of demand factors, such as total market size and internet connectivity, on FinTech cluster development
• The relationship between competition, intellectual property protection, and the size of FinTech clusters

Zusammenfassung der Kapitel (Chapter Summaries)

The paper begins by introducing the topic of FinTech clusters and highlighting their growing importance within the industry. The literature review provides a theoretical framework by exploring the concept of economic clusters and its relevance to the FinTech industry. The analysis then examines the application of Porter's Diamond Model to the FinTech industry, identifying key factors that contribute to cluster formation. The quantitative analysis utilizes data from the European Union to investigate the relationship between these factors and the size of FinTech clusters. The results of the study reveal the significant influence of factors such as specialized talent pools, demand conditions, and the presence of competitors on the development and growth of FinTech clusters.

Schlüsselwörter (Keywords)

This paper focuses on the core concepts of FinTech clusters, economic agglomeration, and the application of Porter's Diamond Model to the FinTech industry. Key terms and concepts explored in the paper include: FinTech, economic clusters, cluster economics, Porter's Diamond Model, factor conditions, demand conditions, related and supporting industries, strategy, structure, rivalry, talent pools, universities, accelerators, market size, internet connectivity, financial literacy, competition, intellectual property protection.