Hasil untuk "Banking"

Douglas W. Diamond, R. Rajan

Tero Pikkarainen, K. Pikkarainen, Heikki Karjaluoto et al.

M. Tan, Thompson S. H. Teo

L. Laeven, Fabián Valencia

This paper updates the database on systemic banking crises presented in Laeven and Valencia (2008, 2013). Drawing on 151 systemic banking crises episodes around the globe during 1970-2017, the database includes information on crisis dates, policy responses to resolve banking crises, and the fiscal and output costs of crises. We provide new evidence that crises in high-income countries tend to last longer and be associated with higher output losses, lower fiscal costs, and more extensive use of bank guarantees and expansionary macro policies than crises in low- and middle-income countries. We complement the banking crises dates with sovereign debt and currency crises dates to find that sovereign debt and currency crises tend to coincide or follow banking crises.

A. Alalwan, Yogesh Kumar Dwivedi, Nripendra P. Rana et al.

The key objective of this study is to propose and examine a conceptual model that best explains the key factors influencing Jordanian customers' intentions and adoption of Internet banking. The conceptual model proposed was based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). This was further extended by adding perceived risk as an external factor. Structural equation modelling (SEM) was conducted to analyse the data collected from the field survey questionnaires administered to a convenience sample of Jordanian banking customers. The results show that behavioural intention is significantly influenced by performance expectancy, effort expectancy, hedonic motivation, price value and perceived risk; however, social influence does not have a significant impact on behavioural intention. This study offers Jordanian banks some guidelines for designing and marketing such channel in order to enhance their acceptance by their customers.

M. Pakurár, Hossam Haddad, János Nagy et al.

Banks must meet the needs of their customers in order to achieve sustainable development. The aim of this paper is to examine service quality dimensions, by using the modified SERVQUAL model, which can be used to measure customer satisfaction, and the effect of these dimensions (tangibles, responsiveness, empathy, assurance, reliability, access, financial aspect, and employee competences) on customer satisfaction in Jordanian banks. Data were gathered from 825 customers in the Jordanian banking sector. The sample data were statistically analyzed through exploratory factor analysis by the SPSS program to determine service quality perception and customer satisfaction. The results illustrate that the modified SERVQUAL Model extracted four subscales in the new model instead of eight in the initial model. The first subscale contains four dimensions—assurance, reliability, access and employee competences. The second subscale consists of two dimensions—responsiveness and empathy. The third and fourth subscales—financial aspect and tangibility—are separate factors. Further studies should consider the dimensions of access, financial aspect, and employee competences as essential parts of service quality dimensions with the other subscales, so as to improve wider customer satisfaction in the banking sector. In the authors’ opinion, the modified SERVQUAL model is useful for addressing customer satisfaction in the banking sector.

Asli Demirgüç-Kunt, Alvaro Pedraza, Claudia Ruiz-Ortega

This paper examines the impact of financial sector policy announcements on bank stocks around the world during the onset of the COVID-19 crisis. Overall, we find that liquidity support, borrower assistance programs and monetary easing moderated the adverse impact from the crisis, but their impact varied considerably across banks and countries. By contrast, countercyclical prudential measures led to negative abnormal returns in bank stocks, suggesting that markets price the downside risks associated with these policies.

Wassan Al-Khowaiter

Abstract The global spread and use of internet and mobile contributed to the development of digital payments and baking. There is a lack of research which provides comprehensive synthesis and analysis of factors affecting the use and adoption of digital banking and payment methods in GCC countries. Thus, the aim of this paper is to provide a comprehensive literature review and perform weight and meta-analysis. By reviewing 46 studies, it was found that best predictors for digital payment and banking adoption in GCC countries are trust, perceived security and perceived usefulness. Based on the extensive literature review, the conceptual of factors affecting adoption digital banking and payment methods in Gulf countries model was proposed, which will set agenda for future research. Practitioners will be able to use the findings from this study to improve adoption and quality of digital banking and payment services

Hyoung-Kil Park, Jong Dae Kim

This paper provides an overview of green banking as an emerging area of creating competitive advantages and new business opportunities for private sector banks and expanding the mandate of central banks and supervisors to protect the financial system and manage risks of individual financial institutions. Climate change is expected to accelerate and is no longer considered only as an environmental threat because it affects all economic sectors. Furthermore, climate-related risks are causing physical and transitional risks for the financial sector. To mitigate the negative impacts, central banks, supervisors and policymakers started undertaking various green banking initiatives, although the approach taken so far is slightly different between developed and developing countries. In parallel, both private and public financial institutions, individually and collectively, are trying to address the issues on the horizon especially from a risk management perspective. Particularly, private sector banks have developed climate strategies and rolled out diverse green financial instruments to seize the business opportunities. This paper uses the theory of change conceptual framework at the sectoral, institutional and combined level as a tool to identify barriers in green banking and analyze activities that are needed to mitigate those barriers and to reach desired results and impacts.

Charles Jebarajakirthy, Amit Shankar

Abstract The purpose of this study to investigate the effect of online convenience dimensions on mobile banking (m-banking) adoption intention using a comprehensive moderated mediation framework. A total of 446 responses from Indian banking users were received using systematic sampling. The covariance-based structural equation modelling and PROCESS macro were used to examine the hypotheses. The results indicated that access convenience, transaction convenience, benefit convenience, and post-benefit convenience have a crucial impact on m-banking adoption intention. The perceived hedonic values and perceived utilitarian values mediate the effects of convenience dimensions on m-banking adoption intention. The study's findings will help banks to identify which dimension/s of online convenience they should focus on over m-banking platforms to enhance adoption intention. As, “Convenience” plays a crucial role in mobile commerce adoption intention. This study attempts to examine how convenience dimensions affect m-banking adoption intention.

Amit Shankar, Charles Jebarajakirthy, M. Ashaduzzaman

Mobile banking (m-banking) is the fastest growing and most cost-effective channel for delivering banking services. Electronic word of mouth (eWOM) plays a crucial role in the success of e-commerce. Therefore, the main purpose of this study is to investigate a comprehensive moderated mediated mechanism for enhancing m-banking adoption behavior through positive eWOM triggers using the elaboration likelihood model (ELM). Argument Quality, valence, consistency and volume were considered eWOM triggers, and the conceptual model also included initial trust in m-banking as a mediator and consumer involvement in m-banking as a moderator. A total of 1153 useable surveys completed by the Indian users of social networking websites were used for analysis. The findings showed that of the triggers, argument quality, valence, and consistency enhance intention to adopt m-banking. These effects were mediated by initial trust in m-banking. The mediation effects of initial trust between valence – Intention varied between high and low consumer involvement in m-banking. These findings make several contributions to the literature on marketing communication, particularly to eWOM research and ELM theory. Practically, this study provides several recommendations to banks about how to use positive eWOM for motivating consumers to adopt m-banking.

R. Chan, I. Troshani, Sally Rao Hill et al.

PurposeThis study aims to identify key factors driving consumers' adoption of Open Banking. It extends the Unified Theory of Acceptance and Use of Technology (UTAUT) by integrating perceived risk, initial trust and financial literacy into an overarching conceptual model.Design/methodology/approachMeasurement items of the theoretical constructs included in the conceptual model were adapted from related literature and a set of hypotheses was developed. The hypotheses of the conceptual model were subsequently assessed with partial least squares structural equation modeling using a dataset of 456 Australian survey respondents.FindingsThe model has strong explanatory power with an R2 of 69.5%. Performance expectancy, effort expectancy, social influence and perceived risk are direct antecedents of consumers' usage intention of Open Banking. Social influence has a strong mediating effect on usage intention through performance expectancy. The effect of perceived risk is alleviated by effort expectancy and initial trust, while initial trust positively affects the effects of performance expectancy and effort expectancy on consumers' usage intention of Open Banking. Finally, financial literacy lowers initial trust towards Open Banking, possibly inducing consumer skepticism.Practical implicationsThe results suggest that practitioners should focus on performance expectancy as a primary driver of Open Banking adoption, while understanding the role of other drivers, such as social influence and perceived risk in developing marketing strategies. Policy makers are recommended to adopt a governance approach to build initial trust amongst consumers.Originality/valueThis research contributes by providing an integrated and comprehensive model for explaining consumers' FinTech adoptions by extending the existing technology adoption model UTAUT to the Open Banking domain and integrating perceived risk, initial trust and financial literacy, thereby advancing and enriching the conceptual horizon of the extant literature.

Jonathan C. Ho, Chorng-Guang Wu, Chung-Shing Lee et al.

Abstract Over the past decade, the markets for mobile and wireless services have been among the world's fastest-growing, especially in Asian countries, presenting financial institutions with significant opportunities to offer value-added services. Mobile banking has since emerged as a new channel enabling the banks to react strategically to changes in competitive forces and to enhance customer convenience. Based on Diffusion of Innovations (DOI) theory, the Technology Acceptance Model (TAM), the Decomposed Theory of Planned Behavior (DTPB) model, this study develops an integrated model to provide a fuller understanding of factors facilitating or impeding the adoption of mobile banking, focusing on consumers in Taiwan and Vietnam. While subjective norms had a significant effect on the intention to adopt, three attributes of mobile banking (compatibility, perceived usefulness, and perceived risk) were found to have indirect effects on intention to adopt mobile banking through attitude toward adoption for consumers in both Taiwan and Vietnam. Intention to adopt mobile banking was indirectly influenced by self-efficacy and facilitating conditions, and directly affected by perceived behavioral control in both nations. Some differences in intention to adopt mobile banking between Taiwanese and Vietnamese are also discussed. Based on the research findings, managerial implications for financial institutions and mobile service providers are discussed.

Xin Zhang, Zhihui Wang, Xiaobing Zhong et al.

The main purpose of this study is to identify the impact of green banking activities on green financing and banks’ environmental performance. It also identifies the mediating effect of green financing on the relationship between green banking activities and environmental performance of private commercial banks (PCBs) in Bangladesh. Besides, this study also examines the major challenges and benefits of green banking development in an emerging economy like Bangladesh. The convenience sampling technique was used to collect primary data from bankers of PCBs in Bangladesh, and a final sample size of 352 was recorded. To assess the relationship among the study variables, the Structural Equation Modelling (SEM) approach was employed. The empirical results revealed that green banking activities exhibit a significantly positive effect on banks’ environmental performance and sources of green financing, and that sources of green financing significantly influence banks’ environmental performance. Additionally, it was observed that green financing mediates the association between green banking activities and banks’ environmental performance. Furthermore, the study identified customers’ insufficient awareness towards green banking, high investment costs, technical obstacles, lack of capable and competent staff in appraising green credits/loans, and difficulties and complexity in assessing green projects as major challenges affecting the development of green banking in Bangladesh. Moreover, the study also discovered that increasing banks’ competitiveness, reducing long-term costs and expenses, providing online banking facilities, improving customers’ goodwill, and reducing carbon footprints are the key benefits of green banking development, as it helps in the achievement of the sustainable economic development of the country. Therefore, major theoretical and managerial policy implications are further discussed with study limitations and future research directions.

Daniel Broby

This paper presents an analytical framework that describes the business model of banks. It draws on the classical theory of banking and the literature on digital transformation. It provides an explanation for existing trends and, by extending the theory of the banking firm, it illustrates how financial intermediation will be impacted by innovative financial technology applications. It further reviews the options that established banks will have to consider in order to mitigate the threat to their profitability. Deposit taking and lending are considered in the context of the challenge made from shadow banking and the all-digital banks. The paper contributes to an understanding of the future of banking, providing a framework for scholarly empirical investigation. In the discussion, four possible strategies are proposed for market participants, (1) customer retention, (2) customer acquisition, (3) banking as a service and (4) social media payment platforms. It is concluded that, in an increasingly digital world, trust will remain at the core of banking. That said, liquidity transformation will still have an important role to play. The nature of banking and financial services, however, will change dramatically.

Mahfuzur Rahman, T. Ming, Tarannum Azim Baigh et al.

PurposeThis study aims to understand the importance and challenges of adopting artificial intelligence (AI) in the banking industry in Malaysia and examine the factors that are important in investigating consumers' intention to adopt AI in banking services.Design/methodology/approachThe qualitative research was carried out using in-depth interviews from officials in the baking industry to understand the importance and challenges of adopting AI in the banking industry. In the quantitative study, a total of 302 completed questionnaires were received from Malaysian banking customers. The data were analysed using the SmartPLS 3.0 software to identify the important predictors of their intention to adopt AI.FindingsThe qualitative results reveal that AI is an essential tool for fraud detection and risk prevention. The absence of regulatory requirements, data privacy and security, and lack of relevant skills and IT infrastructure are significant challenges of AI adoption. The quantitative results indicate that attitude towards AI, perceived usefulness, perceived risk, perceived trust, and subjective norms significantly influence intention to adopt AI in banking services while perceived ease of use and awareness do not. The results also show that attitude towards AI significantly mediates the relationship between perceived usefulness and intention to adopt AI in banking services.Practical implicationsFinancial technology (FinTech) is regarded as a critical determinant of strategic planning in the banking industry. While AI provides various disruptive opportunities in the FinTech space in terms of data collection, analysis, safeguarding and streamlining processes, it also poses a sea of threats to incumbent banks. This study provides vital insights for the policymakers of the banking industry to address the challenges of adopting AI in banking. It also provides the important predictors of the bank customers' intention to adopt AI in banking services. Policymakers can devise their strategies to enhance AI adoption considering the facts.Originality/valueThis study is amongst the pioneer in exploring the importance and potential challenges in implementing AI technology in banking services and identifying the essential factors influencing the intention to adopt AI in Malaysia's banking services.

Omar H. Fares, Irfan Butt, Seung Hwan Mark Lee

This study provides a holistic and systematic review of the literature on the utilization of artificial intelligence (AI) in the banking sector since 2005. In this study, the authors examined 44 articles through a systematic literature review approach and conducted a thematic and content analysis on them. This review identifies research themes demonstrating the utilization of AI in banking, develops and classifies sub-themes of past research, and uses thematic findings coupled with prior research to propose an AI banking service framework that bridges the gap between academic research and industry knowledge. The findings demonstrate how the literature on AI and banking extends to three key areas of research: Strategy, Process, and Customer. These findings may benefit marketers and decision-makers in the banking sector to formulate strategic decisions regarding the utilization and optimization of value from AI technologies in the banking sector. This study also provides opportunities for future research.

B.S. Prashanth, Manoj Kumar, Ariful Hoque et al.

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems by using TabNet, an adaptable deep learning framework, on a Kaggle dataset consisting of actual bank transactions in India. Maximizing operational risk management by improving the accuracy of transaction anomaly detection and ensuring regulatory compliance through transparent models is the goal.We utilize a supervised learning pipeline that incorporates the Synthetic Minority Over-sampling Technique (SMOTE) to ensure that classes are balanced. Subsequently, we conduct thorough exploratory data analysis (EDA) to identify patterns of fraud, both during specific times and across behaviors. On this dataset, five different deep learning architectures are tested: DNN, GRU, LSTM, CNN1D, and TabNet. Assessment of predictive performance was carried out using a 3-fold cross-validation framework. With a ROC-AUC of 0.9739 and an accuracy of 97.39 %, TabNet considerably outperformed the competition. The method of sparse feature selection used improved interpretability, generalized better on tabular data, and produced fewer false positives and negatives.Critical insights for operational fraud detection systems and a contribution to the broader literature on explainable AI (XAI) in financial decision-making are offered by the findings. Goals 8 and 16 of the Sustainable Development Agenda are supported by this study, which promotes inclusive economic growth and institutional transparency. Supporting strong, policy-compliant, and interpretable decision-support systems, it also offers practical use for real-time implementation in banking infrastructure.

S. Chauhan, A. Akhtar, Ashish Gupta

Purpose This study aims to demonstrate digital banking’s influence on customers’ evaluation of service experience and develop a framework identifying the most significant variables of digital banking that influence the financial performance of banks. Design/methodology/approach This structured review of literature, guided with the preferred reporting items for systematic reviews and meta-analyses framework, takes a digital banking perspective to identify 88 articles published between 2001 and 2021, examining distinct aspects of digital banking and their impact on financial performance. Findings Customer experience (CE) is determined by functional clues (functional quality, trust and convenience), mechanic clues (website attributes, website design, perceived usability) and humanic clues (customer complaint handling). The study is furthered to combine CE with the service profit chain model. This study also fills the gap to understand the use of “gamification” in technology-driven banking services to enhance CE. Finally, an integrative framework is proposed to link technology-related factors (digital banking clues and gamification), customer-related factors (CE, customer satisfaction and customer loyalty) and performance-related factors (financial performance). Practical implications The study conceptualises a “total” CE framework that banks can use to enhance their online presence. Banking service providers could also analyse their financial results based on digital banking’s impact on customers. Besides, banks can use this framework to strategically place “game-like features” in their digital platforms. Originality/value This study attempts to significantly contribute to the digital marketing literature related to CE with banks. It is one of the first studies to determine gamification explicitly in banking literature.