Digital Banking Research Articles

Identifying People’s Faces in Smart Banking Systems Using Artificial Neural Networks

Due to the exponential rise of ICT technologies, the digital banking industry has made tremendous advancements in user-friendly, effective, and quick financial transactions. Numerous new banking services, products, and business opportunities have resulted as a result. Smart facial authentication is a cutting-edge technology used in mobile banking. Users can utilize this technology to verify their identification by using the facial recognition feature of the camera on their mobile device. This method makes use of complex algorithms that can analyze a person’s face and extract the distinctive characteristics that can be seen there. The attributes of the images of distinct persons are then categorized using learning algorithms and the K-means clustering method. An artificial neural network (ANN), adaptive neural fuzzy inference system (ANFIS), and decision tree (DT) computer system are used to authenticate persons. In this inquiry, the face is used. Additionally, the Wild Horse Optimizer (WHO) method has been used to enhance the precision and optimization of machine learning systems by weighting cluster features. Fuzzy logic is used to make decisions about authentication based on the results of machine learning algorithms. The best feature from a broad dataset is selected using a technique based on evolutionary algorithms. The simulation findings for diverse users have a precision of about 99.78% for user authentication of test samples. Notably, the suggested method reduced the FAR, FRR, and ERR errors by 0.23, 1.13, and 1.1, respectively. It has been proven that using people’s image data may enhance the quality of everyday cameras, and it is anticipated that this work will be applied to mobile banking applications to ensure the verification of rightful owners.

Review Paper- “A STUDY ON THE FACTORS AFFECTING CUSTOMER PREFERENCE OF ONLINE BANKING SERVICES WITH GP PARSIK BANK”

E-Banking and a decent budgeting application at your fingertips makes budgeting and handling your account even easier. When making payments or calculating your monthly savings and expenditures, you can keep track of real-time expenses. Online banking allows consumers to access general information and accounts of bank products and services through PC or other intelligent systems, which has a significant impact on the growth of more convenient payment mechanisms and user-friendly banking services in the banking industry. When every day is a race against time in our hectic lives, we look for ways to save time as much as we can. E-Banking is one of the technology advancements that help consumers to perform their financial transactions on a secured platform from a retail or automated bank, credit union, or any financial institution. E-Banking, also known as electronic banking, is the digital distribution of new banking services and products to customers directly through electronic, interactive contact networks. There are various types of banks such as commercial banks (which are engaged solely in banking activities), investment banks (for capital market activities), cooperative banks (non-profit banks), postal savings banks (associated with postal systems) and private banks (managing the assets of high-net-worth people). Keywords – CUSTOMER SATISFACTION, DIGITAL BANKING, CUSTOMER FEEDBACK, COMPARATIVE ANALYSIS, CUSTOMER SUPPORT

Generation Z Investment Decisions Influenced by Financial Behavior: Mediated by Financial Literacy

Generation Z, born between the mid-1990s and early 2010s, has become a desirable demographic for the financial industry due to their unique upbringing in the digital age. This generation is proficient with technology, cellphones, and online platforms. Generation Z is well-suited for digital banking services, online investing platforms, and other fintech advances. This study investigates the impact of financial literacy on investment decisions, using financial behaviour as a mediator, based on the Theory of Planned Behaviour. Employing a quantitative methodology, a study was conducted on a group of 110 Generation Z individuals that engage in stock market investments in Malang City. Through the application of Structural Equation Modelling (SEM) research, it is demonstrated that financial literacy exerts an impact on both financial behaviour and investment decisions. Furthermore, financial behaviour acts as a mediator in the relationship between financial literacy and investment decisions. Research findings suggest that Generation Z in Malang City should enhance their ability to forecast investment risks in order to make more informed investment choices. Generation Z is anticipated to consistently seek knowledge pertaining to strong investment portfolios from fellow investors in order to enhance their investment choices.

A Comparative Analysis of Customer Satisfaction towards Traditional and Digital Banking

A Comparative Analysis of Customer Satisfaction towards Traditional and Digital Banking

Impact of Covid-19 on Private Bank Based on SVB

The COVID-19 pandemic has had a profound impact on private banks such as Silicon Valley Bank (SVB). This summary explores the impact of the pandemic on private banking operations, financial performance, and strategic initiatives. The rapid shift to digital banking, driven by lockdowns and social distancing measures, highlights the importance of strong technical infrastructure and cybersecurity measures. Private banks have had to deal with increasing credit risk and market volatility and have therefore had to adapt their lending practices and risk management frameworks. However, private banks focused on sectors such as technology and healthcare have experienced growth opportunities. Effective communication and personalized support are critical to keeping customers engaged during a crisis. It not only describes the causes of the collapse of Silicon Valley banks but also describes what changes government departments, banks, and individuals should make after these social changes, how to avoid these risks, and how to lead the company to a better path of development.

High street banking on the app: branding strategies of traditionally-driven neobanks

PurposeSeveral high street retail banks are extending their brands into digital banking through fully digital, app-only neobanks, which have been described as traditionally-driven neobanks (TDNBs). These TDNBs are considered a form of brand extension, representing the increased complexity of branding banks and financial institutions. This study explicitly addresses the branding strategies employed by TDNBs.Design/methodology/approachThis study has adopted a case study research design, using a multi-stage data collection strategy. Initially, interviews were conducted with bank managers, followed by interviews with customers. Later, user-generated content was extracted through verified reviews from the app store. Subsequently, these three strands of data were thematically analysed and triangulated, in order to gain a holistic understanding of the branding strategies used by TDNBs.FindingsThree key themes emerged regarding the branding strategies of the TDNBs: aligning with the parent brand, reinforcing the digital experience, and enhancing the brand image.Research limitations/implicationsThis study contributed to the growing body of research on marketing, branding, and digital transformation of bank services. As more traditional banks are exploring opportunities to pivot and explore other fintech options, this study offers significant insights that will help in managing brand experience and promotion across customer journeys in the banking sector.Practical implicationsThis study contributes to the growing body of research on marketing, branding, and digital transformation of bank services. Even as more traditional banks explore opportunities to pivot as well as other fintech options, this study offers significant insights to help manage brand experience and promotion across customer journeys in the banking sector.Originality/valueWhile previous studies on banking and financial services have concentrated on traditional retail and high street banks, there is a need for a greater understanding of the brand positioning of digital banks, especially those created by traditional banks.

The Evolution of Payment Systems in Bangladesh: Transition from Traditional Banking to Blockchain based Transactions

This research offers a thorough examination of Bangladesh's quickly changing financial environment, which is characterized by a notable move away from conventional banking practices and toward cutting-edge innovations like blockchain and digital payments. The study's main goal is to comprehend how users adopt and perceive these financial technologies. To this end, a variety of methodologies, including sentiment analysis, regression models, correlation analysis, and descriptive statistics, are used on a sample of mostly educated, young adults. The main conclusions show that online banking services are seen as having a moderate level of security, that use and security ratings are negatively correlated, and that service variety and security perceptions are positively correlated. Furthermore, despite increased knowledge, the report indicates a cautious attitude to cryptocurrency adoption. The study also emphasizes how digital banking might eventually supplant more conventional approaches, with security and user concerns playing a major role in this notion. Users' opinions on payment system enhancements seem to be a combination of indifferent and somewhat favourable. Reaching more age groups, adding options, and focusing on safety are some ideas to make online banking better. The report says it only looked at some people and services, so future work should look at more people and bigger topics. Overall, it gives banks and government helpful facts and plans to deal with digital money's chances and challenges in Bangladesh.

DIGITAL BANKING IN THE FINANCIAL SERVICES MARKET OF UKRAINE

In the modern realities of digital transformation, the banking sector faces significant challenges that lead to changes in the methods of traditional banking operations and changes in the way banks interact with clients based on the use of digital technologies. One of the key trends in this area is the development of digital banking as a promising way of banking services. The study aims to study the theoretical and practical aspects of the development of digital banking in Ukraine's financial services market under conditions of digital transformation. The results of the analysis indicated an increase in the amount of attention paid by domestic and foreign scientists to the digital banking development issue. The article examines the theoretical foundations of the implementation of digital technologies in the banking sphere. The concept of digital banking is described. The SWOT analysis determined the main advantages, opportunities, disadvantages, and possible threats associated with using digital banking. The study distinguishes between the concepts of a purely digital bank and a traditional bank that uses digital technologies in its activities. The peculiarities of the activity of digital banks of Ukraine are characterized. The number of digital banking users in the world as a whole and separately in Ukraine was analyzed. The level of development of domestic digital banking was assessed, and the number of cashless transactions using payment cards from 2019 to 2023 was analyzed. The forecast of the number of bank branches and the volume of non-cash payments using payment cards made it possible to determine that in the future the number of bank branches will decrease, and the volume of non-cash transactions will increase. The digital banks of Ukraine are characterized, and the main innovative products of the leading traditional banks are highlighted. Based on the research of the company InMind, it was concluded that the share of digital banking users is growing and the most popular transactions in digital banking among Ukrainians were singled out. An analysis of the ease of use of mobile applications of domestic digital banks was also conducted, among which the most convenient and functional applications were found to be Monobank, Sense Bank, A-Bank, and the least - Raiffeisen Bank and Oschadbank.

Assessing Digital Bank Preferences in the Philippines: An Application of Analytic Hierarchy Process

Individuals at present utilize technologies such as digital banking for faster and more convenient transactions brought by globalization. This study determined the significant factors affecting user preference of digital banking and identified the most ideal digital bank in the Philippines. Data were collected from 150 respondents through an online survey using Google Forms. Applying analytic hierarchy process (AHP), results indicate that usefulness, usability, and security were the most important criteria while trust, health and safety, and risk were the least important. On user preference, Rizal Commercial Banking (RCBC) is the most preferred digital bank while Komo is the least. The study recommends the use of other evaluation tools such as structural equation modeling and machine learning algorithms to deepen understanding of digital banking preferences.

Consumer Trust in Digital Banking: A Qualitative Study of Legal and Regulatory Impacts

The shift towards digital banking has significantly transformed the financial landscape, necessitating a deeper understanding of the factors influencing consumer trust. This study aims to explore how legal and regulatory frameworks, coupled with perceived security measures, impact consumer trust in digital banking services. A qualitative research design was employed, using semi-structured interviews to gather data from 30 participants who use digital banking services. Participants were selected through purposive sampling to cover a broad demographic range. Data were collected to achieve theoretical saturation and analyzed using NVivo software to identify emerging themes and patterns. The analysis revealed three main themes: Regulatory Impact, Perceived Security, and Consumer Trust Dynamics. Regulatory Impact included categories such as Compliance Standards, Consumer Protection Policies, Transparency, and Enforcement and Penalties. Perceived Security was detailed through Technological Safeguards, Risk Management, User Experience, and Data Management. Consumer Trust Dynamics comprised Initial Trust Formation, Trust Maintenance, Impact of Negative Experiences, Role of Peer Influence, and Long-term Relationship Building. The study concluded that a robust legal and regulatory framework, effective security measures, and dynamic trust-building practices are pivotal in fostering consumer trust in digital banking. Transparent regulations, advanced security technologies, and proactive customer relationship management are essential for banks to maintain and enhance trust among users.

Sentiment Analysis by Using Naïve Bayes Classification and Support Vector Machine, Study Case Sea Bank

Information technology is developing at a rapid pace, changing people's lives, particularly in the financial sector where customer demands are rising, and banks must innovate to convert from traditional to technological banking systems while also increasing competency and efficiency through improved services. Innovations in digital banking have arisen in Indonesia as a result of technical progress. SEA Bank is one such digital bank; it was established in Indonesia in 2021. An app that may be found on the Google Play Store is used for all transactions. However, there are instances when the application's performance falls short of users' expectations, which prompts some users to voice their dissatisfaction. In order to determine if the evaluations are either beneficial or detrimental, the author therefore carried out a sentiment analysis study on SEA Bank using the Naïve Bayes classification and Support Vector Machine techniques. This was then implemented on a website utilizing the Flask framework. In the experiments with 90% training data, 10% testing data, and k = 10, the results of this study demonstrated that the sentiment classification process using the SVM algorithm was the best classification algorithm for evaluating its accuracy, precision, and recall values of 93.99%, 94.60%, 98.87%, and an F1 score of 96.69%.

Understanding Future Trends in Digital Banking Research Through Bibliometric Analysis

To generate a research overview of digital banking, we did a bibliometric analysis. In our bibliometric analysis, we identified 2475 papers about digital banking that were published in the previous 10 years (2013–2023) from 1492 different sources under the direction of 6777 academics. The bibliographic information was gathered using the Scopus database. The dataset was examined using the bibliometric R program Biblioshiny. The number of digital banking research publications published each year, the most relevant author, the most cited articles, thematic maps, and trending topics are all listed. A keyword analysis showed that “blockchain”, “security”, “digital banking”, and “digital storage” appeared most often. The research results will be significant to scholars, researchers, and policymakers in banking, as the study showed the roadmap and pathways to scientifically understanding current and future research trends.

The mediating role of effort expectation on digital banking behavior intention in the Indonesian bank industry: An integration of UGT-UTAUT

Using the frameworks of the Theory of Use and Gratification (UGT) and the Unified Theory of Acceptance and Use of Technology (UTAUT2), this study explores the factors that influence individual behavior and behavioral goals in the adoption of digital banking. Partial Least Square-Structural Equation Modeling (PLS-SEM) is used in the analysis of research data using the program SmartPLS 3.2.9 professional. There are 432 people in the research sample that filled out questionnaires. The results show that behavioral intentions are strongly influenced by the integration of UGT-UTAUT2 by 60.3%. Performance and effort expectations are influenced by cognitive needs, effort expectations are influenced by affective needs, and social influence is impacted by social needs. Behavioral intentions for the use of digital banking are shaped by a combination of factors such as price value, hedonic motivation, habits, facilitating conditions, and effort expectations. The relationship between behavioral intentions, affective and cognitive needs is mediated by effort expectations. In the context of using digital banking, habits and behavioral intentions are important factors that influence behavior; in contrast, cognitive needs, affective needs, performance expectations, and social influence have no direct effect on behavioral intentions.

Customer Perceptions of CSR and Customer Loyalty Towards Digital Banking in Vietnam - Mediating Role of Customer Satisfaction

Customer Perceptions of CSR and Customer Loyalty Towards Digital Banking in Vietnam - Mediating Role of Customer Satisfaction

The Impact of Artificial Intelligence Applications on Digital Banking in Turkish Banking Industry

This paper presents the effects of chat box (C.B.) and video call (V.C.) artificial intelligence applications, which are becoming increasingly common in the banking system in parallel with the development of information systems on the number of digital banking users, and the relationship between the variables is investigated. The data set of the variables consists of a total of 44 observation points between the 1st quarter of 2012 and the 4th quarter of 2022. The cointegration relationship between the variables is examined using the ARDL cointegration test. According to the F statistic results for cointegration hypothesis testing, there is a statistically significant relationship between the variables at a 1% significance level. In the long run, a 1% increase in Chat Box users causes an increase of approximately 0.2% in the number of mobile banking users. A 1% increase in Chat Box users in the short term increases the number of mobile banking users in the current period by approximately 0.03%. A 1% increase in video call users in the long term causes an increase of approximately 0.04% in the number of mobile banking users. A 1% increase in the number of video calls in the current period increases current period mobile banking applications by approximately 0.005%. It has been determined that the effect of chat box applications on mobile banking is higher than that of video call applications. In addition, there is a close correlation between mobile banking and the independent variable chat box, no correlation between mobile banking and video calling, and a moderate correlation between chat box and video calling. All findings mean that artificial intelligence applications positively contribute to the expansion of mobile banking.

Unleashing Ghana’s Banking Sector Might: A Comprehensive Analysis of Contributions, Competitiveness, Challenges and Policy Recommendations

This study examines the contributions, competitiveness, and difficulties of Ghana’s banking industry through a thorough analysis of the literature. The sector, which contributes to Ghana’s GDP and supports SMEs and government projects, is beset by challenges such as high non-performing loan rates and expensive borrowing. However, secondary data from sources like the Bank of Ghana and scholarly journals show that the sector has a significant impact on GDP growth, employment creation, and financial inclusion. Through fintech and digital banking, it contributes to financial inclusion as well, despite ongoing obstacles like the digital divide and expensive service fees. The analysis points out important patterns and weaknesses and makes recommendations for strengthening financial inclusion, regulatory frameworks, and credit risk management. It recommends boosting technological innovation, cutting compliance costs, and improving risk management in order to increase competitiveness. Subsequent investigations ought to tackle the dynamically changing banking industry in order to bolster Ghana’s economic expansion and stability.

Digital banking and fintech services adoption analysis: a case study on non-resident Indians

Digital banking and fintech services adoption analysis: a case study on non-resident Indians

Digital banking and fintech services adoption analysis: a case study on non-resident Indians

Digital banking and fintech services adoption analysis: a case study on non-resident Indians

The Influence of Perceived Value of Benefits, Perceived Ease of Technology Use and Customer Trust on Intention to Use Digital Banking Applications

The purpose of this study is to ascertain the impact of perceived benefits, ease of use, and trust on interest in utilizing sharia digital banking. The target audience for this study consists of potential users or clients who currently use or plan to use the sharia digital bank application, which is available in five Indonesian cities; the precise number of users is unknown. Probability sampling techniques were used for the sampling process. use basic random sampling to determine the sample. Thus, one hundred participants made up the sample. The findings of surveys filled out by resource persons and interviews provide this main data. Descriptive quantitative data analysis techniques are used in this study. Several more conclusions can be made in light of the data analysis and discussion findings, specifically the following: Perceived convenience has no direct impact on people's desire to use sharia digital banking. Perceived benefits have a direct bearing on people's willingness to use sharia digital banking. People's desire in using sharia digital banking is not directly influenced by trust. Perceived convenience, perceived rewards, and trust all have an impact on people's willingness to use sharia digital banks concurrently.

The Role of Fintech on the Performance of Manufacturing SMEs in Dar es Salaam City, Tanzania

The purpose of the study was to investigate the impacts of Fintech on the financial performance of manufacturing Small and Medium Enterprises (SMEs) in Dar es Sa-laam City, Tanzania. A cross-sectional survey research design was conducted to randomly sample 284 manufacturing SMEs from the population of 2867 SMEs locat-ed in Ilala District, which is situated in the Dar es Salaam City. In this quantitative study a questionnaire was used to gather data from SMEs owners/managers. The collected data were analysed using descriptive statistics such as mean, standard deviation and range to map the extent Fintech is adopted and used in SMEs; and the multiple regression model was performed to estimate the impact of Fintech on finan-cial performance of manufacturing SMEs. The descriptive findings show that the adoption and use of digital banking, mobile money services and peer-to-peer lending is higher among manufacturing SMEs. The estimation of regression model revealed that, predictors; digital banking, mobile money services and peer-to-peer lending have positive and statistically significant impact on SMEs financial performance. Accordingly, this study concludes that Fintech are valuable to financial performance of manufacturing SMEs. Thus, it is recommended to SMEs to increase the applica-tion and utilization of digital banking, mobile money services and peer-to-peer lending platforms for the efficient business operations.