Banking Applications Research Articles

Continuance Intention Analysis Using Unified Theory Of Acceptance And Use Of Technology And Unfavorable Attitude Toward Cash Payment Model In The Case Study Of Allo Bank M-Banking Application

The aim of this study is to examine how to maintain users of the Allo Bank mobile banking application through continuance intention, the UTAUT model, and the UATC variables. This research is classified as a quantitative study, with data collection conducted via a survey involving 310 respondents and 51 questions. However, 8 respondent data points were eliminated due to identified outliers, in order to meet the multivariate normality data requirements. The data analysis technique used is the Covariance-based Structural Equation Model (CB-SEM), with the Maximum Likelihood (ML) approach for parameter estimation, relying on multivariate normal distribution through AMOS software. When the multivariate normality test using skewness-kurtosis did not meet the standard of < 2.58, Mahalanobis D-Squared was employed to identify outliers and remove data points with Mahalanobis values > 87.97, resulting in the elimination of 8 data points. Reliability testing was performed using Cronbach’s Alpha, validity was assessed through standardized regression weight, and model fit was evaluated using RMSEA, CFI, and Chi-Square tests. The statistical test results indicate that the reliability test exceeded 0.9, meaning its reliability was good. The multivariate normality test produced a value of 2.245, indicating acceptable conditions. The model fit tests showed a goodness of fit based on RMSEA (0.047), CFI (0.928), and Chi-Square (1.673). Additionally, the path coefficient test results were consistent with the theoretical expectations for each variable, including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Unfavorable Attitude toward Cash Payment, and Satisfaction, all of which had significant effects on Continuance Intention. From a technical perspective, the Allo Bank mobile banking application can provide a reliable system for users, as Performance Expectancy and Effort Expectancy significantly influence Continuance Intention. The study also suggests that the application can enhance the social influence of users to encourage application usage, as indicated by the social influence variable. Additionally, users displayed an unfavorable attitude towards cash transactions based on UATC respondent feedback.

The Influence of Service Failure on Mobile Banking Usage and Its Relation to User Satisfaction

The explosive expansion of the internet has changed the way banks communicate with their clients. MyBCA, a mobile banking (m-banking) application, is designed to meet the needs of customers who prefer banking from home. This study aims to analyze the impact of m-banking service failures on MyBCA user adoption and satisfaction. 390 respondents participated in this quantitative study, with data analysis using SMARTPLS 3.1. Results show that m-banking adoption is significantly affected by functional, system, information, and service failures. In addition, the use of m-banking was also found to have a significant influence on use satisfaction towards m-banking. Despite functional failures, users still use m-banking frequently. System failures, such as technical glitches, have a significant impact on usage. In contrast, information failures have less impact than other failures. Service failures, such as transaction errors, also have a major impact on usage. This study uses MBFM to analyze the interrelationships between service failures, m-banking adoption, and user satisfaction, providing important insights for the future development of m-banking services. The results of this study can be used as a basis for designing more targeted service quality improvement strategies, with a priority on improving the core features that are most frequently used by users

You are entitled to access the full text of this document The inflected of fintech solutions on financial performance in SMEs: An analysis of the IT industry in the UAE

This study investigates the impact of introducing financial technology (Fintech) on increasing the financial viability of small and medium enterprises (SMEs) operating in the IT sector in the United Arab Emirates (UAE). By identifying the obstacles that SMEs experience while dealing digital transformation, this study aims to show how the emerging financial technologies, including digital banking, peer-to-peer lending, and AI applications, can drive enhancements in financial utilization and the innovation of banking products, cost-cuts, increased organizational productivity, and better client experiences. A quantitative research approach was implemented, and the research tool used was a structured questionnaire developed to capture respondents’ data from 250 respondents from SMEs in the UAE. Descriptive and inferential statistics of correlation and regression analysis were done using the stratified random sampling technique. Results indicated that fintech adoption enhances financial performance in SMEs. Specifically, increased accessibility shows a strong positive correlation with financial performance (r = 0.998, p < 0.01), while enhanced efficiency and improved customer experience also show strong correlations (r = 0.635, p < 0.01). The variable "Increased Accessibility" showed the most significant effect on the financial performance of SMEs, with a highly significant positive correlation and the strongest predictive value in the regression analysis. This study concludes that the implementation of fintech solutions offers significant opportunities for improving the financial performance of SMEs and recommends increased investment in fintech and appropriate regulation for that purpose.

Discovering Accessible Financial Systems Resources for Emergent Users

The widespread use of mobile phones in Brazil has significantly altered information access and communication, impacting the financial sector as institutions increasingly use mobile apps. However, ensuring accessibility for all users remains challenging, particularly for riverside people who lack exposure to formal education, urban environments, and digital technologies. This study examined the accessibility and communicability barriers this population faces in mobile banking applications, especially in instant payment features. After reviewing best practices and applying the Semiotic Inspection Method (SIM), the study developed and tested an instant payment prototype with riverside people in the Amazon region. Interviews and the Communicability Evaluation Method (CEM) were used to measure communication effectiveness and inform design improvements for Pix interfaces. Afterward, a workshop with computing students was conducted, and they showed interest in inclusive systems but needed more practical knowledge. The workshop also highlighted the necessity of providing audio resources, more security, and illustrations and text that are easy to understand in financial conversation systems for emergent users. This research supports digital inclusion by exploring resources to improve accessibility in interactive systems for emergent users.

The role of perceived value, trust, and characteristics of mobile banking applications in shaping continuance intention: evidence from Saudi Arabia

The role of perceived value, trust, and characteristics of mobile banking applications in shaping continuance intention: evidence from Saudi Arabia

THE RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND E-ACCOUNTING PROGRAMS: IMPACT ON THE QUALITY OF FINANCIAL REPORTS IN IRAQI BANKS

This study examines the correlation between electronic accounting software and artificial intelligence programs and their influence on the quality of financial reports in the banking sector of Iraq. The researchers devised a questionnaire comprising three dimensions to accomplish this objective. The initial set of questions pertained to using artificial intelligence applications by the study sample bank, either for customer service purposes or to achieve the bank's objectives. The second set of questions pertained to the accounting programs utilized, their advantages and disadvantages, and their compatibility with advancements in technology and communications. The third dimension encompassed inquiries on the essential attributes necessary for the excellence of financial statements by the criteria set by international financial reporting standards and the Central Bank of Iraq. Out of the 46 banks listed on the Iraq Stock Exchange in 2024, a sample of 31 institutions was chosen. Among them, there were 12 Islamic banks and 19 commercial banks. 217 questionnaires were distributed for analysis, with each bank receiving seven questionnaires for the directors of finance, internal audit, information systems, inspection, research and development, and their assistants to answer the research questions. The hypotheses were tested using IBM SPSS 29.0.10, employing practical analysis and simple and multiple linear regression. The research findings indicate that all banks in Iraq utilize electronic accounting. However, the quality of programs differs across banks based on the scale of financial activities and the amount of money they handle. The research also determined that artificial intelligence is advancing in the applications of banks, except for the Development Bank, the Bank of Baghdad, and the First Bank of Iraq. The study also demonstrates a strong correlation between the implementation of artificial intelligence in accounting and its positive impact on the reliability and accuracy of financial accounts.

Penerapan aplikasi bank sampah berbasis deskstop

The implementation of the Kenanga 36 Waste Bank application has become part of the waste processing sector such as waste banks. Apart from being a place to save and sort waste, waste banks also play a role in educating the public about processing waste into items that are useful and have selling value. Even though the service process at the Kenanga 36 Waste Bank is still manual by recording in books, this results in a lack of accuracy and precision. Therefore, a computerized system is needed to improve the performance and development of waste bank institutions. To overcome this problem, the author has designed a system for transactions and savings management at the Kenanga 36 Sampah Bank. The results of this Sampah Bank application are expected to speed up and make it easier for Sampah Bank officers to carry out transactions and manage customer savings data.

PERAN APLIKASI MOBILE BANKING DALAM KEMUDAHAN TRANSAKSI HARIAN

Mobile banking applications have become an integral part of modern society's daily lives, facilitating financial transactions in a more efficient and practical manner. This research investigates the role of mobile banking applications in facilitating daily transactions and their impact on economic aspects. By using a quantitative approach and active user respondents in Indonesia, this research reveals that the use of this application not only reduces transaction costs and increases time efficiency, but also expands access to financial services, especially in remote areas. The research results show that mobile banking applications have the potential to increase financial inclusion and financial system stability, as well as contribute to inclusive economic growth. The implications of this research highlight the importance of developing safe and affordable digital financial technology to support sustainable economic development in the future. Keywords: Mobile Banking Application, Financial Transactions

EVALUATION OF THE IMPACT OF THE SHARIA MINI BANK LABORATORY ON STUDENT COMPETENCE

This study provides an overview of the role of the Bank Mini Islam Laboratory in improving student competence. The study was conducted qualitatively, involving field observations, interviews, and document analysis. The findings point to the need for improved facilities, additional management members, and public-oriented promotions. Four empowerment models for Islamic mini-bank laboratories were identified, with the fourth stage being the most effective in the context of "Freedom of Learning". The impact of the Islamic mini bank laboratory, on the competence of students in Islamic banking, has not reached its maximum potential due to the lack of compliance with the latest Islamic mini bank application standards. Therefore, it is very appropriate to have a better laboratory that follows the growth of Islamic banking. In addition to understanding the practice of mini bank laboratories, students must also be equipped with other competencies needed in the banking world in order to compete and work effectively in Islamic banking.

The impact of digital banking channels and organizational culture on operational excellence in Jordanian banking

This study explores the impact of digital banking channels on the operational excellence of Jordanian banks. It investigates the impact of social media, chatbots, digital wallets, and mobile applications on operational excellence in Jordanian banks, focusing on the moderating role of organizational culture. The study used a quantitative research method and a stratified random sampling technique to ensure a diverse sample of the five largest banks in Jordan, including managers and IT professionals responsible for managing digital banking operations. A total of 276 completed questionnaires were analyzed using structural equation modeling. The findings show that digital banking channels significantly contribute to operational excellence. Social media banking (β = 0.155, p < 0.05) and chatbots (β = 0.212, p < 0.01) positively impact operational excellence, while digital wallets (β = 0.301, p < 0.001) and mobile banking applications (β = 0.22, p < 0.01) also exhibit significant positive effects. The structural model explained 63% of the variance in operational excellence. Additionally, organizational culture was found to positively moderate the impact of social media banking (β = 0.20, p < 0.01), chatbots (β = 0.10, p < 0.05), and digital wallets (β = 0.16, p < 0.01) on operational excellence. However, the interaction between mobile applications and organizational culture was not significant (β = 0.078, p = 0.065).

An Analysis of Bank Syariah Indonesia digital services and features

Aligned with technological advancements and evolving customer preferences for cutting-edge banking solutions, Bank Syariah Indonesia (BSI) has introduced the BSI Mobile Application, aiming to deliver efficient banking services in adherence to Sharia financial principles. This study is prompted by the quest for a comprehensive understanding of the digital services offered by BSI, specifically focusing on identifying distinctive features, evaluating integration levels, and assessing their impact on the operational efficiency of the bank. Employing a qualitative approach through the library research method, the research draws data from diverse sources, including literature, scientific journals, books, official documents, and pertinent information accessible through library repositories and digital platforms.Utilizing a literature study as the primary data collection technique and applying the Miles and Huberman data analysis method, this research ensures the validity and reliability of findings by relying on credible sources such as scientific journals and official documents from Bank Syariah Indonesia. The outcomes of this research successfully unveil and elaborate on the array of digital services provided by BSI, highlighting distinctive features that set it apart from conventional mobile banking applications. The analysis of BSI Mobile features offers profound insights into services that embody a holistic approach, demonstrating efficiency and compliance with Sharia financial principles.This research serves as a foundational knowledge source for future inquiries. The anticipation is that a more profound comprehension of digital service types, specific features, and their effects on BSI's operational efficiency will serve as a guide for developing more efficacious strategies in the future. The envisaged positive contribution aims to optimize digital services at BSI, enhance the overall customer experience, and elevate the operational efficiency of the bank.

EVALUATING MACHINE LEARNING MODELS FOR OPTIMAL CUSTOMER SEGMENTATION IN BANKING: A COMPARATIVE STUDY

This study presents a comparative analysis of machine learning algorithms for customer segmentation in the banking sector, utilizing a comprehensive dataset that includes transactional, demographic, and engagement attributes. Various clustering models, including K-Means, Gaussian Mixture Models (GMM), Hierarchical Clustering, DBSCAN, and Spectral Clustering, were evaluated to identify the most effective approach in terms of segmentation accuracy, scalability, and interpretability. The results revealed that Spectral Clustering consistently outperformed other models, offering superior accuracy and valuable insights into customer interactions across multiple banking touchpoints. While K-Means delivered fast and scalable segmentation, it lacked the flexibility needed for non-spherical clusters. The study also highlighted the benefits of a multi-dimensional dataset approach, which provided deeper insights into customer behavior, engagement, and loyalty. Although limitations such as computational complexity and scalability challenges remain, future research should focus on real-time data integration and multi-channel interactions across banking operations. This research not only contributes to machine learning applications in banking but also offers actionable strategies for targeted marketing, personalized customer engagement, risk management, and overall service optimization.

The Transformative Role of Mobile Applications in Digital Banking: A Comprehensive Analysis of Customer Engagement and Service Evolution

The digital transformation of banking services through mobile applications represents a pivotal shift in the financial services industry, fundamentally changing how customers interact with their financial institutions. This comprehensive article research examines the multifaceted role of mobile applications in driving digital banking transformation, with particular emphasis on security implementations, customer engagement strategies, and the impact of automation and personalization on service delivery. The article analyzes the critical aspects of mobile banking infrastructure, including multi-layered security protocols, regulatory compliance frameworks, and technological integration strategies that have shaped the modern banking landscape. Special attention is given to the accelerated digital adoption during the COVID-19 pandemic, which served as a catalyst for unprecedented changes in banking behavior and technological advancement. Through analysis of industry data and expert insights, this research demonstrates how mobile banking applications have evolved from simple transaction tools into sophisticated platforms that integrate advanced security protocols, artificial intelligence, personalized analytics, and seamless customer engagement features. The article reveals significant improvements in customer satisfaction, operational efficiency, and service accessibility, with mobile banking users showing an increase during the pandemic period and an increase in customer engagement for institutions implementing advanced analytics and personalization strategies. This article contributes to the understanding of mobile banking's evolutionary trajectory and provides valuable insights for financial institutions seeking to enhance their digital banking capabilities in an increasingly competitive landscape.

Enhancing digital currency adoption: examining user experiences

PurposeThis study aimed to analyse user experiences and perceptions of eRupee banking applications in India, focussing on understanding the key factors driving user satisfaction and dissatisfaction.Design/methodology/approachA comprehensive text-mining approach was employed to analyse 5,176 user reviews collected from the Google Play Store. Sentiment analysis and latent Dirichlet allocation (LDA) were used to classify reviews and uncover prevailing themes.FindingsThe analysis revealed that positive reviews highlighted the themes of usefulness, convenience, satisfaction, app attributes, and ease of use. Negative reviews emphasise issues related to lack of trust, faulty updates, unreliability, security concerns, and inadequate customer support. The Logistic Regression model demonstrated superior performance in predicting user sentiments, achieving an AUC of 0.7926 and an accuracy rate of 77.90%.Research limitations/implicationsThis study was limited to reviews from a single-platform source. Future research could incorporate data from multiple online sources and employ qualitative methods to gain deeper insight. Additionally, longitudinal studies and cross-cultural analyses are recommended to capture evolving user sentiments and global perspectives.Practical implicationsThe findings provide actionable insights for bank managers, app developers and policymakers to enhance eRupee applications by addressing identified issues and leveraging positive aspects to improve overall user experience and satisfaction.Originality/valueThis study makes a novel contribution to the literature on digital currency and advanced text-mining techniques using machine-learning models to analyse user feedback in the context of an emerging economy. The proposed conceptual model and practical recommendations serve as the foundation for future research and practical development in digital financial services.

Encryption and Security Enhanced Middleware SOA Solutions for High-Security Applications

This paper examines the security enhancements for middleware layer that play a crucial role in protecting information. In the digital age, the integration of security measures with software architecture is paramount, especially for industries such as banking, healthcare, and high-security applications. These sectors handle sensitive data that requires robust protection from cyber threats. The Service-Oriented Architecture (SOA) is a widely adopted architectural pattern that facilitates the design of modular, interoperable systems. However, to address the escalating risks associated with cybercrime and data breaches, traditional SOA solutions must evolve by incorporating encryption and other advanced security measures. This paper explores how encryption and security- enhanced middleware enhances the overall security for these high-stakes industries. Keywords: SOA, OIC, Webservices, XML, TLS, SSL, Encryption, Data encryption, Encryption at rest. SAML, SSO, Application Security

Impact of the Quality of Financial and Banking Applications Used on Smartphone on the Customer Satisfaction of Jordanian Islamic Bank

This study aimed to identify the impact of the quality of financial and banking applications through the dimensions of (information security, trust, privacy) used on smartphones on the satisfaction of Jordanian Islamic bank customers. The researcher employed a descriptive-analytical approach in constructing the study. The study population consisted of all customers of Jordanian Islamic banks. The researcher developed a research tool (a questionnaire) to align with the study’s dimensions. A random sample of Islamic bank customers was selected, and the research tool was distributed to them electronically. The researcher was able to obtain responses from 249 participants. One of the key findings of the study was that there is a high level of usage of financial and banking applications on smartphones in Islamic banks. Among the dimensions, “privacy” ranked the highest in importance based on the participants’ responses. The results also revealed a significant impact of the quality of financial and banking applications used on smartphones, through the dimensions of (information security, trust, and privacy), at a significance level of (α ≤ 0.05) on the satisfaction of Jordanian Islamic bank customers. Among the key recommendations was the need for greater focus on quality factors related to financial and banking applications by emphasizing the dimensions of information security, trust, privacy, and data protection due to their significant role and impact on customers using these applications. Additionally, there is a potential for further research and studies on the factors affecting the quality of financial and banking applications on smartphones for electronic banking services offered to customers.

The Impact of Technological Advancements in Accounting Information Systems on Achieving Alignment Between Financial Accounting Theory and Practical Application at Jordanian Commercial Banks

The study aimed to find out the impact of technological advancements in accounting information systems on achieving alignment between financial accounting theory and practical application at Jordanian commercial banks. The descriptive analytical approach was adopted using the quantitative method to achieve the purpose of the study. A questionnaire tool was constructed to collect data and verify its reliability and stability. A sample of 385 employees of Jordanian commercial banks answered the questionnaire. The results showed that AIS technological progress has a significant impact in achieving alignment between financial accounting theory and practical application in Jordanian commercial banks. All technological dimensions such as the technical dimension, human dimension, organizational dimension, security, environmental and administrative dimensions showed a positive and noticeable impact. It was found that the environmental and technical dimensions had the greatest impact, while the organizational dimension came in last place in terms of impact.

Artificial Intelligence in Banking : The Evidence from Poland

The widespread use of new technologies has reduced the precise boundary between physical and digital realities. Dynamic development of artificial intelligence (AI) systems has contributed to the digital transformation of the global economy. Given its extensive range of potential applications, AI has the potential to impact a multitude of socio-economic domains, including politics, security, health care, medicine, economy, trade, finance, taxes, and production. As the banking sector plays a crucial role in the global economy, the question arises as to whether and to what extent banking market entities are willing to use artificial intelligence solutions in their business processes. This study aims to determine the scope of AI use by key banks operating in the Polish banking market. Achieving this goal requires determining what categories of AI are used by key banks operating in Poland, analysing AI methods used by those banks, and the fields of AI implementation. The research scope covers the analysis of AI applications in the largest banks operating in Poland, which together cover almost half of the market share (PKO Bank Polski S.A., Bank Pekao S.A., Santander Bank Polska S.A., mBank S.A. and ING Bank Śląski S.A). To obtain an up-to-date overview of AI usage, the research period is 2019-2024. The empirical part of the research is supported by an analysis of the widespread use of artificial intelligence and its dynamic international development based on academic papers and industry reports.

The Role of Digital Banking in Financial Inclusion: A Review Study

Digital banking has emerged as a pivotal force in enhancing financial inclusion by providing access to banking services for underserved populations, particularly in developing economies. This paper explores the impact of digital banking innovations, including mobile banking, internet banking, and fin tech applications, on improving access to financial services. The study employs a comparative analysis between developed and developing countries, examining how digital banking solutions are deployed, the challenges faced in each region, and their effectiveness in reaching the unbanked and under banked populations. By drawing from case studies, data from financial institutions, and interviews with banking professionals, this research highlights the critical role of digital banking in bridging the financial inclusion gap. It also identifies key success factors such as technological infrastructure, regulatory frameworks, and digital literacy. The paper concludes with recommendations for policymakers and banking institutions to optimize the use of digital banking platforms for financial inclusion, promoting economic growth and social equity across different regions.

Security analysis and evaluation of mobile banking applications in Nigeria

Rapid fintech adoption across the world is so ubiquitous. To facilitate more adoption in Nigeria, recently the Central Bank of Nigeria (CBN) introduced several policies that support cashless banking. Nowadays, Nigerian banks users could perform most of their daily transactions from any desired location using mobile banking applications. In the literature, there are insufficient studies that comprehensively evaluate the security strength or risks of these applications. Generally, insecure mobile banking applications could lead to financial fraud, violations of privacy, identity theft and eroded user confidence. Considering the situation, there is need to conduct research which comprehensively assess security of the applications. Consequently, in this paper we analyzed and evaluated the security of identified popular mobile banking applications in Nigeria. We conducted the analysis work using automated and manual static analysis methods. Then, we evaluated the security of the applications using multi-criteria decision-making technique. Our results revealed that most of the applications have several security challenges in form of vulnerabilities and insecure coding practices. Hence, our findings have shown the applications need further improvements for better security and safety.