Digital Banking Adoption: Design, Implementation, and Evaluation in SMEs Financing

Thesis Abstract

The rapid digitization of banking services has transformed SME financing, yet many small and medium-sized enterprises (SMEs) confront persistent barriers to fully leveraging digital channels, including trust, accessibility, and operational integration, which constrain financial inclusion and growth. This study addresses the problem of suboptimal adoption and utilisation of digital banking solutions by SMEs, resulting in fragmented credit access, higher financing costs, and missed growth opportunities. The aim is to design, implement, and evaluate a holistic digital banking adoption framework tailored to SMEs, incorporating process redesign, secure digital interfaces, and data-driven credit decisioning. The specific objectives are (1) to assess current determinants of digital banking adoption among SMEs in the selected market; (2) to design an integrated digital banking prototype that aligns with SME financial workflows and risk management; (3) to implement the prototype within a collaborating bank’s SME segment using a quasi-experimental rollout; (4) to evaluate adoption, usage intensity, credit underwriting outcomes, and user satisfaction through mixed-methods analysis; and (5) to provide evidence-based recommendations for policy makers and financial institutions to scale digital banking adoption in SME financing. The study adopts a mixed-methods, explanatory sequential design underpinned by the Technology-Organisation-Environment (TOE) framework and the Diffusion of Innovations theory. The population comprises SME owners and managers in the manufacturing and services sectors and employees of a partnering commercial bank. A two-stage sampling approach will yield a sample of 420 SMEs for survey data, with 60 SMEs and 15 bank staff participating in in-depth interviews and focus groups. Instruments include a structured survey measuring perceived usefulness, perceived ease of use, trust, perceived risk, facilitating conditions, organizational readiness, and financial performance indicators; interview and focus group guides probing experience with digital banking features, integration challenges, and decision-making processes; and administrative data from the bank on loan applications, approval rates, repayment performance, and digital channel usage. Instrument validity and reliability will be ensured through pilot testing, confirmatory factor analysis, and Cronbach’s alpha. Data will be analyzed using structural equation modeling (SEM) to test the TOE- and DOI-based hypotheses, complemented by multivariate regression to identify determinants of adoption intensity. A difference-in-differences (DiD) approach and propensity score matching (PSM) will be employed to estimate the causal impact of the digital banking prototype on loan approval rates, time-to-funding, and default incidence. Thematic analysis will be applied to qualitative data to extract insights on user experience, trust-building mechanisms, and organizational change requirements. Expected findings include (i) quantified effects of perceived usefulness, ease of use, trust, and organizational readiness on adoption intensity; (ii) evidence that the integrated prototype reduces application-to-funding time by 25–40% and increases SME loan approval rates by 8–12% relative to control groups; (iii) improved credit underwriting outcomes through standardized digital data inputs and analytics, leading to lower default rates by 2–4 percentage points; (iv) higher user satisfaction and retention with digital channels among SME clients; and (v) identification of enabling factors and bottlenecks in bank operations, regulatory compliance, and data governance. The study will contribute to knowledge by bridging digital banking design and SME financing outcomes, validating an applied adoption framework grounded in TOE and Diffusion theory, and offering a scalable blueprint for financial institutions and policymakers. The main conclusion is that an integrated digital banking design—combining user-centric interfaces, secure digital authentication, embedded data analytics for credit risk, and organizational change support—substantially enhances SME access to finance and reduces funding inefficiencies. Recommendations include (a) banks formalizing SME-dedicated digital onboarding protocols and API-enabled data sharing with SMEs; (b) policymakers promoting interoperable digital identity and credit data infrastructures to reduce information asymmetry; and (c) banks investing in change management and SME financial literacy to sustain adoption. Further research should explore sector-specific adaptations, longer-term performance impacts, and cross-country comparative analyses.