Hasil untuk "Banking"

N. Schoon

Ye Guo, Chen Liang

Blockchain technology is a core, underlying technology with promising application prospects in the banking industry. On one hand, the banking industry in China is facing the impact of interest rate liberalization and profit decline caused by the narrowing interest-rate spread. On the other hand, it is also affected by economic transformation, Internet development, and financial innovations. Hence, the banking industry requires urgent transformation and is seeking new growth avenues. As such, blockchains could revolutionize the underlying technology of the payment clearing and credit information systems in banks, thus upgrading and transforming them. Blockchain applications also promote the formation of “multi-center, weakly intermediated” scenarios, which will enhance the efficiency of the banking industry. However, despite the permissionless and self-governing nature of blockchains, the regulation and actual implementation of a decentralized system are problems that remain to be resolved. Therefore, we propose the urgent establishment of a “regulatory sandbox” and the development of industry standards.

Tao Zhou, Yao-bin Lu, Bin Wang

Gary B. Gorton, Andrew Metrick

Tommi Laukkanen

Ulrich Eggers

Kaiji Chen, Jue Ren, Tao Zha

We study how monetary policy in China influences banks’ shadow banking activities. We develop and estimate the endogenously switching monetary policy rule that is based on institutional facts and at the same time tractable in the spirit of Taylor (1993). This development, along with two newly constructed micro banking datasets, enables us to establish the following empirical evidence. Contractionary monetary policy during 2009–2015 caused shadow banking loans to rise rapidly, offsetting the expected decline of traditional bank loans and hampering the effectiveness of monetary policy on total bank credit. We advance a theoretical explanation of our empirical findings. (JEL E32, E52, G21, O16, O23, P24, P34)

M. Leo, Suneel Sharma, K. Maddulety

There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are being detected, measured, reported and managed. Considerable research in academia and industry has focused on the developments in banking and risk management and the current and emerging challenges. This paper, through a review of the available literature seeks to analyse and evaluate machine-learning techniques that have been researched in the context of banking risk management, and to identify areas or problems in risk management that have been inadequately explored and are potential areas for further research. The review has shown that the application of machine learning in the management of banking risks such as credit risk, market risk, operational risk and liquidity risk has been explored; however, it doesn’t appear commensurate with the current industry level of focus on both risk management and machine learning. A large number of areas remain in bank risk management that could significantly benefit from the study of how machine learning can be applied to address specific problems.

Jesús Fernández-Villaverde, Jesús Fernández-Villaverde, Daniel R. Sanches et al.

The introduction of a central bank digital currency (CBDC) allows the central bank to engage in large-scale intermediation by competing with private financial intermediaries for deposits. Yet, since a central bank is not an investment expert, it cannot invest in long-term projects itself, but relies on investment banks to do so. We derive an equivalence result that shows that absent a banking panic, the set of allocations achieved with private financial intermediation will also be achieved with a CBDC. During a panic, however, we show that the rigidity of the central bank's contract with the investment banks has the capacity to deter runs. Thus, the central bank is more stable than the commercial banking sector. Depositors internalize this feature ex-ante, and the central bank arises as a deposit monopolist, attracting all deposits away from the commercial banking sector. This monopoly might endangered maturity transformation.

Samar Rahi, M. Mansour, Mahmoud Alghizzawi et al.

Purpose Technology acceptance, especially internet banking adoption, has become a vital issue in the business world today. The potential of this technology is enormous. The purpose of this study is to ascertain determinants of internet banking adoption using unified theory of acceptance and use of technology (UTAUT) and electronic service (e-service) quality, which accounts for changes in user’s intention to adopt internet banking. Design/methodology/approach The authors collected data from customers of commercial banks using structured questionnaires. The data were collected in four weeks in the beginning of September 2017. A two-stage approach of confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used for data analysis. Findings The results reveal that integrated UTAUT model had significant influence on user intention to adopt internet banking. Findings of the SEM indicated that approximately 80 per cent of the variance in user intention to adopt internet banking was accounted by predictors. The study schematized that assurance is the most influential factor among all other technology and service quality factors. Additionally, performance expectancy and effort expectancy were found to be positive and significant mediator variables among website design, customer service and customer’s intention to adopt internet banking. Practical implications It is recommended that both website designers and managers should focus on technology and service quality factors to boost the confidence of internet banking users. Importance performance matrix analysis suggested that managers should provide assurance to internet banking users, so that they could maintain a long-term relationship with internet banking services. The study calls researchers to test the integrated UTAUT model in other electronic commerce (e-commerce) domains such as online booking or online shopping websites. Originality/value To the best of author’s knowledge, this study is the first that extend the UTAUT model with four e-service quality dimensions, namely, website design, customer service, assurance and reliability to investigate user’s intention to adopt internet banking in developing country context of Pakistan. More importantly, the mediating role of performance expectancy and effort expectancy is examined first time within integrated UTAUT model. Furthermore, the integration of UTAUT model contributes to the advancement of internet banking acceptance and offers useful insights to researchers and policy-makers on how to enhance internet banking acceptance among customers of commercial banks.

Kwame Owusu Kwateng, Kenneth Afi Osei Atiemo, Charity Appiah

PurposeMobile banking (m-banking) can be defined as a service offered by a bank or any other financial institution that allows the customers of such establishments to carry out a variety of banking operations via a mobile device, such as a mobile phone, tablet or personal digital assistant. The purpose of this paper is to examine factors that influence customers to adopt and subsequently use m-banking services in Ghana using the unified theory of acceptance and use of technology 2 (UTAUT2) model with age, educational level, user experience and gender as moderators.Design/methodology/approachUsing questionnaire survey, the study sampled 300 users of m-banking services in Ghana as respondents. The primary data collected were analyzed using SmartPLS software.FindingsFindings of the study indicate that Habit, Price Value and Trust are the main factors influencing adoption and use of m-banking in Ghana. Individual differences of gender, age, educational level and user experience responded differently as they moderate the relationship between UTAUT2 constructs and use bahaviour. The applicability of UTAUT2 model was confirmed in the context of the research.Practical implicationsM-banking is a new phenomenon in Ghana’s financial industry, thus it is imperative to understanding the customer adoption behavior. The outcome will aid financial institutions to develop strategies that will sustain the interest of consumers to embrace m-banking.Originality/valueThis paper is among the first ever known attempts to examine m-banking adoption in Ghana using UTAUT2 model.

B. Foroughi, M. Iranmanesh, S. Hyun

Purpose The quality of people life and efficiency of banks can be improved by mobile banking (m-banking). The long-term success of m-banking depends on its constant use. The purpose of this paper is to investigate the determinants of m-banking continuance intention to use, using the technology continuance theory (TCT) by including the self-efficacy and channel preference. Design/methodology/approach Empirical data from 369 Malaysian users who had prior experience with mobile banking were analysed, using partial least squares technique. Findings The results confirmed that the TCT model had a high exploratory power in explaining users’ perceived usefulness (PU), satisfaction, attitude and intentions to continue to use m-banking. Furthermore, self-efficacy and channel importance were important drivers of continuance intention in the context of m-banking. According to the results, perceived ease of use has no effect on PU and attitude in the post-adoption stage. Practical implications The findings help bank managers to understand the importance of meeting customers’ needs and expectations as a prerequisite in enhancing their satisfaction and favourable attitude towards m-banking and consequently their continuance intention. Originality/value Based on the TCT model, this study contributes to the limited body of research on continuance intention to use m-banking. Furthermore, self-efficacy and channel preferences were added to the TCT model and the results confirmed the importance of enriching the TCT model to explain continuance intention to use information systems by adding contextual factors.

Meenakshi Sharma, A. Choubey

The environmental concern is on rise in all types of business; however, banking assumes a special niche due to its ability to influence the economic growth and development of the country. The present study proposes conceptual model of Green banking initiatives and studies the impact of three Green banking initiatives, viz. green products development, green corporate social responsibility and green internal process on two possible outcomes, viz. Green brand image and Green trust. The study is qualitative in nature comprising of semistructured in-depth interviews conducted with 36 middle- to senior-level managers of twelve public and private Indian banks. Banking sector can play a crucial role in greening the banking system by enhancing the availability of finance and serve the needs of a “green economy”. The findings of the study revealed that 63% of the total respondents were of view that their bank indulges in development of several green banking products and services, 53% of the bankers said that their bank incorporates green internal processes in their daily activities, and 78% respondents said that their bank undertakes several green corporate social responsibility initiatives. This investigation further highlights that more than 60% respondents believed that Green banking initiatives have positive role in restoring customer trust through enhanced Green brand image. With dearth of studies on green banking in India, the present qualitative study contributes to the body of knowledge and paves way for future research in green banking for sustainable development.

Philile Thusi, D. K. Maduku

Abstract Mobile banking is gaining prominence as an innovative delivery channel for financial services, especially in developing countries where access to banking services is low. Mobile banking through an application (app) is a recent technological innovation with enormous potential to improve the banking experience of retail bank customers and to streamline the banks' operations. So retail banks are interested in promoting the rapid acceptance of this innovation among their customers. Millennials, who rely heavily on technology, are more likely to adopt mobile banking apps; yet there is scant research on the acceptance and use of mobile banking apps among this cohort, particularly from the perspective of African emerging economies. This study analyses the determinants of mobile banking app acceptance and use from a sample of millennial retail banking customers. An innovative multi-perspective framework is used, based on the unified theory of acceptance and use of technology 2 (UTAUT2), multi-dimensional institution-based trust, and risk. The findings suggest that performance expectancy, facilitating conditions, habit, perceived risk, and institution-based trust are significantly associated with millennials' intention to adopt mobile banking apps, and that facilitating conditions, perceived risk, and behavioural intention have a significant direct influence on millennials' mobile banking app behaviour. These findings bridge an important gap in research into millennials’ mobile banking behaviour, and provide retail banks with useful insights to increase the uptake of mobile banking apps by this consumer cohort.

Yunseung Lee, Subin Kim, Youngjun Kwak et al.

Large language models (LLMs)-based chatbots are increasingly being adopted in the financial domain, particularly in digital banking, to handle customer inquiries about products such as deposits, savings, and loans. However, these models still exhibit low accuracy in core banking computations-including total payout estimation, comparison of products with varying interest rates, and interest calculation under early repayment conditions. Such tasks require multi-step numerical reasoning and contextual understanding of banking products, yet existing LLMs often make systematic errors-misinterpreting product types, applying conditions incorrectly, or failing basic calculations involving exponents and geometric progressions. However, such errors have rarely been captured by existing benchmarks. Mathematical datasets focus on fundamental math problems, whereas financial benchmarks primarily target financial documents, leaving everyday banking scenarios underexplored. To address this limitation, we propose BankMathBench, a domain-specific dataset that reflects realistic banking tasks. BankMathBench is organized in three levels of difficulty-basic, intermediate, and advanced-corresponding to single-product reasoning, multi-product comparison, and multi-condition scenarios, respectively. When trained on BankMathBench, open-source LLMs exhibited notable improvements in both formula generation and numerical reasoning accuracy, demonstrating the dataset's effectiveness in enhancing domain-specific reasoning. With tool-augmented fine-tuning, the models achieved average accuracy increases of 57.6%p (basic), 75.1%p (intermediate), and 62.9%p (advanced), representing significant gains over zero-shot baselines. These findings highlight BankMathBench as a reliable benchmark for evaluating and advancing LLMs' numerical reasoning in real-world banking scenarios.

Anthony J. Evans

Central banks across the world have remained in a state of emergency ever since the global financial crisis [...]

Qingji Zhou, Qingji Zhou, Fong Jie Lim et al.

Abstract Mobile banking (MB) is one of the most recent innovations for financial sectors which could have practical value to both users and banks. This study aims to explore the dimensions affecting mobile banking loyalty intention and examine their interrelationships and effects on service quality and loyalty. By referring to service quality model, customised factors affecting mobile banking service quality and loyalty intention were proposed. Survey data were collected from 224 mobile banking users and were analysed based on structural equation modelling (SEM). The results of SEM analysis directly or indirectly highlight the importance of the interface design, system quality, security assurance and service quality in mobile banking loyalty intention. Meanwhile, the implications of the findings on both theoretical and managerial are discussed, as well as the limitation of this study.

Alam Rehman, I. Ullah, F. Afridi et al.

P. Dwivedi, Jawaher Ibrahim Alabdooli, Rajeev Dwivedi

FinTech is the combination of innovation and technology to deliver financial products and services to stakeholders. The paper aims to investigate the impact of FinTech on the competitiveness and performance of the banking industry in the UAE. The research is empirically tested based on the 76 banking professionals and executives (bankers) from Dubai (UAE). The findings suggest that the adoption of FinTech had a significant influence on the competitiveness and competitiveness results in the performance of the banking industry in the UAE. The second findings suggest that proper adoption of FinTech and aligning with the management of technology also have a direct impact on the performance of the baking industry in the UAE. The study becomes important because the UAE Banking industry serves almost 200 nationalities and its performance depending on FinTech and competitiveness.

Ahmed Geebren, Abdul Jabbar, Ming Luo

Abstract Consumer satisfaction has been widely accepted as a key measure of continuous use and success within the information systems, e-commerce and mobile banking literature. We aim to build on this work by investigating customer satisfaction in relational to the utilisation of e-banking services within mobile eco-systems, specifically in a developing country. This involved investigating the mechanism of customer satisfaction enhancement in mobile banking, focusing on the mediating role of trust. In order to achieve this, we utilise structural equation modelling with partial least squares (PLS-SEM) to analyse the data of 659 responses. Our findings reveal that trust has a significant positive impact on customer satisfaction, we also find that trust fully mediates the relationships between service quality, structural assurance, and customer satisfaction. In addition to this we also find that trust partially mediates the relationships between system quality, information quality, task characteristics, and customer satisfaction. This paper has been crucial in shedding new light on the impact of trust in the mobile banking post-adoption behaviours, which we argue provides valuable insights into the factors which indirectly affect customer satisfaction in mobile banking through trust.