A Framework for Assessing the Impact of Fintech on Traditional Banking Stability | Blazingprojects Postgraduate Thesis
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A Framework for Assessing the Impact of Fintech on Traditional Banking Stability

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of the Study
  • 1.3Statement of the Problem
  • 1.4Aim and Objectives of the Study
  • 1.5Research Questions
  • 1.6Research Hypotheses
  • 1.7Significance of the Study
  • 1.8Scope and Delimitation of the Study
  • 1.9Limitations of the Study
  • 1.10Organisation of the Study
  • 1.11Operational Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Review of Fintech and Banking Stability
  • 2.2Definitions and Dimensions of Financial Stability in Banking
  • 2.3Overview of Fintech Innovations Affecting Banks
  • 2.4Theoretical Framework: Technology Acceptance Model (TAM) and Institutional Theory
  • 2.5Empirical Review of Fintech's Impact on Bank Stability
  • 2.6Empirical Studies on Fintech and Bank Risk Management
  • 2.7Regulatory Challenges in Fintech Adoption
  • 2.8Critical Evaluation of Prior Research and Identified Gaps
  • 2.9Conceptual Framework of Fintech Impact on Stability
  • 2.10Summary of Literature Review and Synthesis
  • 2.11Conceptual Model of Fintech Influence on Banking Stability
  • 2.12Summary of Research Gaps

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design and Approach
  • 3.2Philosophical Paradigm Underpinning the Study (e.g., Positivism)
  • 3.3Population of the Study: Banks and Fintech Firms
  • 3.4Sampling Frame, Sample Size, and Sampling Technique
  • 3.5Data Sources and Data Collection Instruments
  • 3.6Validity and Reliability of Measurement Instruments
  • 3.7Data Collection Procedures and Ethical Considerations
  • 3.8Method of Data Analysis and Interpretation
  • 3.9Model Specification: Framework for Assessing Fintech’s Impact
  • 3.10Ethical Considerations and Data Confidentiality Measures

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS, AND DISCUSSION OF FINDINGS
  • 4.1Response Rate and Data Completeness
  • 4.2Descriptive Statistics of Respondents and Variables
  • 4.3Assessment of Data Normality and Assumptions
  • 4.4Hypotheses Testing: Relationships Between Fintech Adoption and Bank Stability
  • 4.5Results of Regression/Structural Equation Modeling
  • 4.6Interpretation of Key Findings in Context of Literature
  • 4.7Discussion of Factors Influencing Banking Stability via Fintech
  • 4.8Summary of Main Results and Insights

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION, AND RECOMMENDATIONS
  • 5.1Summary of Key Findings
  • 5.2Conclusions Based on Research Objectives and Hypotheses
  • 5.3Contributions to Theory and Practice in Banking and Fintech
  • 5.4Practical Recommendations for Banks and Regulators
  • 5.5Limitations and Delimitations of the Study
  • 5.6Suggestions for Future Research Directions

Thesis Abstract

The rapid proliferation of financial technology (fintech) innovations has significantly transformed the operational landscape of traditional banking institutions, raising critical concerns regarding the long-term stability of banking systems amid mounting competition and technological disruptions. This study addresses the pressing need to develop a comprehensive framework for assessing the multifaceted impact of fintech on the stability of conventional banks, with particular emphasis on detecting both stabilizing and destabilizing influences. The primary aim is to construct an empirically grounded, analytically robust framework that integrates financial, technological, regulatory, and systemic risk factors to evaluate fintech’s role in shaping banking stability. The specific objectives include (1) to identify key dimensions through which fintech influences banking stability; (2) to empirically test the relationships between fintech adoption and various stability indicators; (3) to analyze the moderating effects of regulatory policies; and (4) to develop a conceptual assessment model for policymakers and banking executives. The research adopts a mixed-methods design comprising both qualitative and quantitative approaches. The quantitative component utilizes a cross-sectional survey targeting a stratified sample of 150 senior managers and risk officers from a diverse set of 30 commercial banks operating within a highly digitized banking environment. Data collection instruments encompass structured questionnaires designed to measure perceptions of fintech-related risks, stability metrics, and regulatory compliance practices, supplemented by secondary financial data drawn from bank financial statements and regulatory reports spanning the last five years. To ensure validity and reliability, the questionnaire items are subjected to content validity checks by domain experts and tested for internal consistency using Cronbach’s alpha, achieving coefficient values exceeding 0.80. The qualitative aspect involves semi-structured interviews with 20 key regulatory officials, technology innovation leaders, and financial sector analysts to gain insights into regulatory responses and systemic considerations. Data analysis employs advanced statistical techniques, including multiple regression analysis to identify determinants of banking stability, Structural Equation Modeling (SEM) using SmartPLS to validate the proposed conceptual model, and thematic analysis for qualitative interview data to contextualize quantitative findings. The model specification incorporates key variables derived from the Theory of Financial Intermediation and Diffusion of Innovation Theory, aiming to elucidate the pathways through which fintech adoption impacts stability. Expected findings suggest that fintech integration exerts both stabilizing effects—increasing efficiency, reducing operational costs, and expanding financial inclusion—and destabilizing effects—heightening cyber risk exposure, operational vulnerabilities, and regulatory gaps. The study anticipates demonstrating that the overall impact on banking stability is contingent upon effective regulatory frameworks, the maturity of financial infrastructure, and the strategic orientation of banking institutions. The findings are expected to reveal significant moderating effects of regulatory oversight, emphasizing the critical role of policy interventions in harnessing fintech benefits while mitigating associated risks. This study contributes novel insights to the theoretical and empirical understanding of fintech’s dual impact on banking stability, proposing an integrative assessment framework that can inform policy and strategic management. It extends the application of the Diffusion of Innovation Theory and Regulatory Compliance Theory in the context of fintech-driven banking systems, offering a validated model adaptable to different banking environments. The study’s main conclusion underscores the necessity for proactive regulatory adaptation, technological resilience measures, and strategic innovation management to safeguard banking stability amid the evolving fintech landscape. Recommendations include adopting comprehensive regulatory standards, strengthening cyber and operational risk management frameworks, and fostering collaborative innovation initiatives between banks and fintech firms to optimize benefits and minimize systemic risks. Future research avenues suggested include longitudinal studies to monitor fintech’s evolving influence and comparative analyses across different regional banking sectors.

Thesis Overview

This research explores how financial technology (fintech) innovations are affecting the stability of traditional banking systems. As fintech firms introduce new ways of providing financial services—such as mobile payments, peer-to-peer lending, and blockchain technology—there’s concern about how these changes might influence the overall health and stability of established banks. Although fintech can increase efficiency and broaden access to banking, it also presents risks like increased competition, potential for financial crimes, and the destabilization of banks if not managed properly. The study aims to develop a comprehensive framework that can be used to assess these impacts systematically. The research addresses a knowledge gap regarding how to measure and predict the effects of fintech on bank stability, an area that is still evolving and not fully understood. It will investigate the relationship between fintech growth and indicators of banking stability, such as capital adequacy, asset quality, and earnings consistency. The researcher will adopt a mixed-methods approach. Quantitative data will be collected through a survey administered to banking professionals and fintech firms, with a sample size of around 200 participants drawn through stratified random sampling. This data will include financial performance indicators and perceptions of fintech's impact. For analysis, multiple regression analysis will be used to examine the relationships between fintech development and banking stability measures. Qualitative data from interviews will supplement this, analyzed using thematic analysis to gain deeper insights into the risks and opportunities perceived by industry stakeholders. The expected contribution of this study is a practical framework that regulators, banks, and fintech firms can use to gauge the influence of fintech innovations on banking stability, thereby enabling better risk management and policy formulation. It is anticipated that the results will highlight specific areas where fintech can either strengthen or threaten bank stability, leading to targeted recommendations for safeguarding financial systems. The study aims to provide a clearer understanding of the delicate balance between innovation and stability in modern banking.

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