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Introduction:

Financial technology (fintech) is revolutionizing the way in which financial services are delivered to consumers. One area where fintech is making a significant impact is in alternative credit scoring. Traditional credit scoring methods rely heavily on credit history and collateral, which can exclude many individuals from accessing credit. Alternative credit scoring utilizes non-traditional data sources, such as social media profiles and payment histories, to assess creditworthiness. This thesis explores the role of fintech in alternative credit scoring and its implications for financial inclusion.

Table of Contents:

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 Evolution of Fintech
2.2 Traditional Credit Scoring Methods
2.3 Alternative Credit Scoring Models
2.4 Impact of Fintech on Credit Scoring
2.5 Role of Big Data in Credit Scoring
2.6 Challenges of Alternative Credit Scoring
2.7 Regulatory Environment for Fintech
2.8 Fintech Adoption and Usage
2.9 Fintech and Financial Inclusion
2.10 Future Trends in Fintech and Credit Scoring

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Techniques
3.5 Research Ethics
3.6 Validity and Reliability
3.7 Limitations of the Study
3.8 Research Bias

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Impact of Fintech on Credit Scoring
4.3 Adoption of Alternative Credit Scoring Models
4.4 Benefits and Challenges of Fintech in Credit Scoring
4.5 Regulatory Implications
4.6 Case Studies of Fintech Companies
4.7 Consumer Perceptions of Alternative Credit Scoring
4.8 Future Research Directions

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Implications for Financial Inclusion
5.3 Recommendations for Policy Makers
5.4 Contributions to the Field
5.5 Conclusion

Thesis Overview:

Financial technology (fintech) has transformed the financial services industry, offering innovative solutions that are reshaping the way consumers access and manage their finances. One area where fintech is creating a significant impact is in alternative credit scoring, which utilizes non-traditional data sources to evaluate creditworthiness. This thesis investigates the role of fintech in alternative credit scoring and its implications for financial inclusion.

Chapter 1 provides an introduction to the topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter 2 offers a comprehensive literature review on the evolution of fintech, traditional and alternative credit scoring methods, the impact of fintech on credit scoring, the role of big data, challenges, regulatory environment, adoption, usage, and future trends in fintech and credit scoring.

Chapter 3 delves into the research methodology, detailing the research design, data collection methods, sampling techniques, data analysis, research ethics, validity, reliability, limitations, and research bias. Chapter 4 presents a thorough discussion of the findings, including the impact of fintech on credit scoring, adoption of alternative models, benefits, challenges, regulatory implications, case studies, consumer perceptions, and future research directions.

Chapter 5 concludes with a summary of findings, implications for financial inclusion, recommendations for policy makers, contributions to the field, and a final conclusion. Through this thesis, we aim to provide valuable insights into the evolving landscape of fintech and alternative credit scoring, shedding light on the opportunities and challenges that lie ahead.

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