Assessing the Impact of Digital Banking Adoption on Customer Satisfaction in Local Community Banks

Thesis Abstract

The rapid proliferation of digital banking services has transformed the operational landscape of community banks, with implications for customer satisfaction that warrant systematic exploration. Despite widespread adoption of digital platforms, there remains a knowledge gap regarding the extent to which digital banking influences the satisfaction levels of customers within local community banking institutions. This study aims to assess the impact of digital banking adoption on customer satisfaction in local community banks, with specific objectives to evaluate the level of digital service utilization, identify key factors influencing customer satisfaction in digital banking, and determine the relationship between digital service features and overall customer satisfaction. Employing a quantitative research design, the study surveyed a sample of 400 active account holders across five community banks within the region, selected through stratified random sampling to ensure representativeness. Data were collected via structured questionnaires measuring variables such as digital banking service usage, perceived service quality, customer trust, perceived ease of use, and satisfaction levels. The questionnaires' validity was established through expert reviews and pilot testing, while reliability was confirmed using Cronbach’s alpha coefficients exceeding 0.8 for all scales. Data analysis involved descriptive statistics to profile respondents, and inferential techniques including multiple regression analysis and ANOVA to examine the relationships between digital banking features and customer satisfaction. The analytical framework integrates the Technology Acceptance Model (TAM) and SERVQUAL theory to elucidate the influence of perceived usefulness, perceived ease of use, and service quality on customer satisfaction outcomes. It is expected that results will demonstrate a statistically significant positive relationship between digital banking service adoption and customer satisfaction, with factors such as perceived security, ease of access, and responsiveness exerting considerable influence. Regression analysis is anticipated to reveal that digital service features explain a substantial proportion of variance in customer satisfaction, while ANOVA tests are expected to show that satisfaction levels differ significantly across demographic groups and levels of digital service engagement. This research is expected to contribute to the existing body of knowledge by highlighting specific digital banking features that drive customer satisfaction in a community banking context, thereby extending the application of TAM and SERVQUAL in this domain. The findings will offer practical insights for community bank managers seeking to optimize digital service offerings, enhance user experience, and foster customer loyalty. Additionally, the study will identify gaps concerning infrastructural limitations and digital literacy barriers that could impede optimal service delivery. The main conclusion likely underscores the critical role of tailored digital banking strategies in cultivating customer satisfaction within community banks, emphasizing the importance of security, usability, and personalized customer service. Based on the findings, recommendations will include investing in robust cybersecurity measures, providing targeted digital literacy programs for customers, and continuous innovation of digital platforms to meet evolving customer expectations. The study advocates for further research into longitudinal effects of digital banking adoption and comparative analyses across different regional contexts to deepen understanding of digital transformation’s long-term impact on customer satisfaction in community banking.