Comparative Analysis of Digital Banking Adoption in Emerging Markets

Thesis Abstract

This study addresses the growing divide in digital banking adoption between advanced and emerging markets, examining how institutional, technological, and consumer factors influence adoption rates, usage intensity, and perceived value in contexts with varying levels of financial inclusion, regulatory maturity, and infrastructural readiness. The problem centers on limited understanding of cross-country determinants that drive successful digital banking uptake in emerging economies and how these determinants interact with bank-specific strategies and national policy environments to shape adoption trajectories. The aim is to provide a comparative analysis that identifies key drivers, barriers, and differential effects across a representative set of emerging markets, informing both theory and practical policy and strategic decisions for financial institutions. Specific objectives include (1) to quantify the level of digital banking adoption across five emerging markets with contrasting fintech ecosystems; (2) to assess the relative influence of perceived usefulness, perceived ease of use, trust, and digital literacy on adoption intention using an integrated Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) framework; (3) to evaluate the moderating roles of regulatory quality, financial inclusion, and payment infrastructure maturity on the relationship between individual determinants and adoption; (4) to examine bank-specific capabilities such as mobile platform quality, cyber security measures, and customer service responsiveness as antecedents of customer engagement and usage frequency; and (5) to synthesize policy and governance implications for accelerating inclusive digital banking in emerging markets. Methodologically, the study adopts a cross-sectional, mixed-methods design. The quantitative strand targets a pooled sample of 2,500 adult banking customers (approximately 500 respondents per country) drawn from five emerging-market economies representing diverse regulatory contexts and levels of digital infrastructure. Stratified random sampling is employed to ensure representation by age, income, and urban-rural residence. Survey data will be collected through standardized online and face-to-face questionnaires, incorporating validated scales for TAM/UTAUT constructs, trust, perceived risk, financial literacy, and usage metrics. The qualitative strand involves 40 in-depth interviews with bank managers, fintech partners, and policymakers to triangulate survey findings and capture contextual nuances. Data collection will be complemented by bank-level operational metrics on digital channel penetration, transaction volumes, and cybersecurity incidents for the past two fiscal years. The primary data analysis will use structural equation modeling (SEM) to test the integrated TAM/UTAUT model and hierarchical linear modeling (HLM) to account for country-level variance. Moderated mediation analyses will explore how regulatory quality and payment infrastructure moderate indirect effects of core determinants on adoption outcomes. The qualitative data will be analyzed using thematic analysis to identify emergent patterns regarding institutional enablers and barriers, with integration of quantitative and qualitative findings through a convergent parallel design. The study will control for sociodemographic factors and financial literacy to isolate the effects of technology and ecosystem characteristics. Expected findings include (i) positive effects of perceived usefulness, perceived ease of use, and trust on adoption intentions, with higher effects in countries exhibiting better digital identity ecosystems and payment interoperability; (ii) significant moderating effects of regulatory quality and infrastructure maturity, amplifying the impact of individual determinants on actual usage and frequency; (iii) bank-level capabilities, notably mobile platform reliability and cybersecurity posture, positively associated with customer engagement and cross-channel usage; (iv) a notable gap between adoption intentions and sustained usage in markets with low financial literacy and higher perceived risk, underscoring the need for targeted customer education and risk mitigation strategies. The study contributes to knowledge by extending TAM/UTAUT applications to a multi-country, emerging-market setting with explicit consideration of policy and infrastructure context, offering a nuanced understanding of cross-country heterogeneity in digital banking diffusion. It provides a comparative framework for banks and regulators to design context-sensitive strategies aimed at accelerating inclusive digital finance, including recommendations on digital literacy programs, regulatory reforms to improve interoperability and consumer protection, and investment priorities in secure, user-friendly digital platforms. The main conclusion emphasizes that successful digital banking adoption in emerging markets hinges on the alignment of technology acceptance factors with robust regulatory quality, interoperable payment infrastructures, and proactive risk management, with practical recommendations to policymakers for building trust and expanding financial inclusion while ensuring cybersecurity and data privacy.