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Introduction

Financial inclusion is a critical aspect of economic development and poverty reduction, as it ensures that individuals and businesses have access to affordable and appropriate financial products and services. One of the key barriers to financial inclusion is the lack of formal credit history, particularly in developing countries where a large portion of the population is unbanked or underbanked. Mobile credit scoring has emerged as a potential solution to this problem, using alternative data sources and advanced algorithms to assess creditworthiness and extend credit to individuals who were previously deemed too risky by traditional lenders.

This thesis aims to explore the concept of financial inclusion through mobile credit scoring, examining how this innovative approach can help expand access to credit for underserved populations. By leveraging mobile technology and big data analytics, mobile credit scoring has the potential to revolutionize the way credit is assessed and provided, opening up new possibilities for financial inclusion and economic empowerment.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Theoretical framework of financial inclusion
2.2 Evolution of credit scoring
2.3 Mobile technology in financial services
2.4 Alternative data sources for credit scoring
2.5 Impact of mobile credit scoring on financial inclusion
2.6 Regulatory considerations for mobile credit scoring
2.7 Challenges and barriers to adoption
2.8 Success stories and best practices
2.9 Future trends and opportunities
2.10 Critical analysis of existing literature

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis
3.5 Research ethics
3.6 Validity and reliability
3.7 Research limitations
3.8 Case study approach
3.9 Comparative analysis
3.10 Cross-sectional and longitudinal studies

Chapter 4: Discussion of Findings
4.1 Overview of research findings
4.2 Analysis of empirical results
4.3 Comparison with existing literature
4.4 Implications for theory and practice
4.5 Policy recommendations
4.6 Future research directions
4.7 Case studies and practical examples
4.8 Stakeholder perspectives
4.9 Lessons learned
4.10 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to knowledge
5.3 Practical implications
5.4 Recommendations for further research
5.5 Conclusion

Thesis Overview on Financial Inclusion through Mobile Credit Scoring

Financial inclusion is essential for sustainable economic growth and poverty reduction. However, many individuals and businesses are excluded from the formal financial system due to a lack of credit history and access to traditional banking services. Mobile credit scoring has emerged as a innovative solution to this problem, leveraging mobile technology and alternative data sources to assess creditworthiness and provide credit to underserved populations.

This thesis will investigate the concept of financial inclusion through mobile credit scoring, exploring the theoretical framework of financial inclusion, the evolution of credit scoring, the role of mobile technology in financial services, and the impact of mobile credit scoring on access to credit. The research methodology will include case studies, empirical analysis, and stakeholder perspectives to provide a comprehensive understanding of this topic.

By examining the challenges, opportunities, and best practices in mobile credit scoring, this thesis aims to contribute to the existing literature on financial inclusion and provide valuable insights for policymakers, practitioners, and researchers. Ultimately, the goal of this research is to facilitate greater financial inclusion and economic empowerment through the use of innovative technology and data-driven approaches.

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