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In recent years, the penetration of digital technologies in the financial industry determined the arising of Fintech, which generated a dynamic and rapid change that business operators and supervisory authorities in the banking industry are struggling to follow it. This is especially due to issues affecting financial intermediaries and customers, and potential risks of stability of the financial system. The aim of this paper is to provide a review of Fintech in the banking industry thus to update the knowledge about technology innovation in the banking sector, identify the major trends in the domain and delineate future research directions.

The study reviews 377 articles indexed on Scopus from 2014 to 2021 that focus on Fintech and the banking industry. The methodology adopted is structured in two steps: the keywords selection and the analysis of the documents extracted. The first step identified “Fintech” and “bank” as keywords to be searched within the title, abstract or keywords of documents indexed on Scopus; whereas the second step combined R and VOSviewer to provide a descriptive analysis of the dataset and the analysis of keywords and occurrences, respectively.

Results achieved in the study allow providing a systemic view of the Fintech in the banking industry, including the emergent phenomenon of digital banking. In particular, it is provided with a general overview and descriptive information on the entire sample of documents analyzed, their authors, the keywords used and the most cited works. Besides, a deepening on the model of digital banking is provided, by delineating the six dimensions of the key effects generated by the digital bank model.

Two main elements of originality characterize this study. The first one is related to the fact that few review studies have been published on Fintech in the banking industry, and the second one concerns the multiple dimensions of the impact of Fintech in the banking sector, which includes customer, company, bank, regulation authority and society.

This purpose of this paper is to empirically examine the contribution of the Islamic banking and financial institutions (IBFIs) to economic growth in Malaysia.

Focusing on the post-1997 economic turmoil, the paper relies on several time series tests, such as autoregressive distributed lag (ARDL), vector error correction model (VECM) and variance decompositions (VDCs).

The paper documents significant role played by the IBFIs in Malaysian economy. In particular, significant unidirectional causality was found from the IBFIs development to economic growth, supporting the finance-growth led hypothesis or the supply-leading view.

The paper only focuses its analysis on the role of the IBFIs in the Malaysian economy and not the financial sector as a whole. Thus, the findings of this paper are indicative, but inconclusive for the entire financial sector in the country.

Continuous efforts should be undertaken to promote the development of the Islamic banking industry due to its significant contribution to Malaysia’s economic growth by further improving the Islamic financial infrastructure, increasing the pool of human capital in the Islamic banking industry, providing conducive legal environment to the IBFIs and maintaining the Islamic financial sector stability.

This paper is the first attempt to empirically assess the contribution of Islamic banking institutions in Malaysia using ARDL, VECM and VDCs.

The purpose of this paper is to increase our understanding of the challenges the banking industry continues to face from an ethics standpoint more than a decade after the credit crisis. Since 2007, there has been renewed interest in the way professional ethics is integrated within the banking culture. With a public that has become more sensitive towards ethical and corporate governance failures, the banking industry has been at the receiving end of strong ethical criticism. Yet, in spite of the regulatory response to the crisis, ethics is still a major issue in an industry where the corporate governance systems implemented by companies have failed to control employee behaviours, even in institutions branding themselves as ethical banks.

This paper studies factors inside and around institutions in the banking industry that impact the moral anomie in bankers’ professional environment. This paper applies an ordinary least square regression analysis, preceded by exploratory and confirmatory factor analysis, to test the hypothesised relations between anomie and the factors proposed.

The results show that long-term orientation, strategic aggressiveness and competitive intensity do have an influence on anomie. These results are compared to previous research applied in non-financial industries and prompt the strengthening of corporate governance systems in financial companies with aggressive corporate cultures.

The paper therefore introduces the factors that lead bankers to ignore the morals they gained from society and provide a better understanding of the reasons behind the deviant behaviours that caused the crisis a decade ago. It represents a crucial first step for future policymaking that fills an important gap in the financial regulation literature. Indeed, the lack of understanding of the factors dictating behaviours in the industry meant that regulatory changes in the past decade have mostly focussed on technical aspects of the problem (e.g. new capital structure requirements) and produced few answers to address the ethical challenges.

This paper aims to provide a review of literature directions regarding the potential impact of fintech operators on the financial services market globally. This paper reviews the literature to identify possible benefits or challenges that fintech firms can have for the traditional banking system.

This paper is based on a review of published research papers related to fintech and digital finance. The Scopus database, SSRN database and google scholar were used to find relevant research papers. The final sample included impactful papers about the effect of fintech activities on the banking and financial services industry.

The current paper indicated that while fintech firms would take some market share away from banks, it is not expected that fintech firms would substitute banks. However, banks are required to accelerate their adoption of innovations and advanced technology to compete with fintech firms. It is also proposed that strategic partnerships and cooperation could happen between banks and fintech companies in a way that benefits both sides.

The present paper adds to the understanding of the effect of the fintech firms’ growth on the banking industry in light of the emerging opportunities and threats for the financial sector. The paper also provides guidance for fruitful research on the impact of fintech activities on social and economic welfare in the future.

The banking and financial sector of the Arab Gulf region is characterized by deregulation, globalization, product innovation, developments in technology and increasing competition. This change has created the potential for gain but has also increased risk. After the oil and gas sector, the Gulf′s banking and financial sector is the region′s main hope for future economic development. Attempts to address the present and future prospects and challenges faced by the Gulf banking sector through an examination of the trends and patterns in banking development and financial deepening, the nature of long‐range strategic planning, the prevailing marketing environment and aspects of customers′ behaviour. The financial deepening in Gulf Co‐operation Council countries was significant in the last decade but suffered a setback during the post‐Gulf war period. The analysis shows that individual banks have to initiate or increase their strategic planning effort. The strategic thrust of banks is likely to be one of consolidation in a tough over‐banked and somewhat recessionary domestic market while pursuing a regional niche strategy and seeking a prominent role through mergers, acquisitions and restructuring.

This study examines the Robo-Advisors (RA) based on Artificial Intelligence (AI), a new service that digitises and automates investment decisions in the financial and banking industries to provide low-cost and personalised financial advice. The RAs use objective algorithms to select portfolios, reduce behavioural biases, and improve transactions. They are inexpensive, accessible, and transparent platforms. Objective algorithms improve the believability of portfolio selection.

This study adopts a qualitative approach consisting of an exploratory examination of seven different RA case studies and analyses the RA platforms used in the banking industry.

The findings provide two different approaches to running a business that are appropriate for either fully automated or hybrid RAs through the realisation of two platform model frameworks. The research reveals that relying solely on algorithms and not including any services involving human interaction in a company model is inadequate to meet the requirements of customers in decision-making.

This study emphasises key robo-advisory features, such as investor profiling, asset allocation, investment strategies, portfolio rebalancing, and performance evaluation. These features provide managers and practitioners with new information on enhancing client satisfaction, improving services, and adjusting to dynamic market demands.

This study fills the research gap related to the analysis of RA platform models by providing a meticulous analysis of two different types of RAs, namely, fully automated and hybrid, which have not received adequate attention in the literature.

This paper aims to analyse the economics of financing banking supervision and attempts to respond to two questions: What are the most common financing practices? Can the differences in current financing practices be explained by country‐specific factors, using a path‐dependence approach?

The paper performs an empirical analysis that identifies the determinants of the financing structure of banks' prudential supervision using a sample of 90 banking supervisors (central banks and financial authorities).

The paper concludes that supervisors in central banks are more likely to be publicly funded, while financial authorities are more likely to be funded via a levy on the regulated banks. The financing rule is also explained by the structure of the financial systems. Public funding is more likely in bank‐oriented structures. Finally, the geographical factor is also significant: European bank supervisors are more oriented towards the private funding regime.

In general, the paper does not find evidence of the role of the political factor, the size of the economy, the level of development and the legal tradition.

The paper analyses the financial governance of banking supervision in a sample of 90 countries world‐wide. The empirical analysis focuses on the financing rules and identifies factors that explain the differences between supervisory authorities.

The global emphasis on sustainability is driving organizations to embrace financial technology (Fintech) solutions as a means of enhancing their sustainable performance. This study seeks to unveil the intermediary role played by green finance and competitiveness, along with the moderating impact of digital transformation (DT), in the intricate relationship between Fintech adoption and sustainable performance.

Drawing on existing literature, we construct a comprehensive conceptual framework to thoroughly analyse these interconnected variables. To empirical validate of our model, a dual structural equation modelling–artificial neural network) SEM–ANN approach was employed, adding a robust layer of validation to our study’s proposed framework. A sample of 438 banking employees in Pakistan was collected using a simple random sampling technique, with 411 samples deemed suitable for subsequent analysis. Initially, data scrutiny and hypothesis testing were carried out using Smart-PLS 4.0 and SPSS-23. Subsequently, the ANN technique was utilized to assess the importance of exogenous factors in forecasting endogenous factors.

The findings from this research underscore the direct and significant influence of Fintech adoption and DT on the sustainable performance of banks. Notably, green finance and competitiveness emerge as pivotal mediators, bridging the gap between Fintech adoption and sustainable performance. Moreover, DT emerges as a critical moderator, shaping the relationships between Fintech adoption and both green finance and competitiveness. The integration of the ANN approach enhances the SEM analysis, providing deeper insights and a more comprehensive understanding of the subject matter.

This study contributes to the enhanced comprehension of Fintech, green finance, competitiveness, DT and the sustainable performance of banks. Recognizing the importance of amalgamating Fintech adoption, green finance and transformational leadership becomes essential for elevating the sustainable performance of banks. The insights garnered from this study hold valuable implications for policymakers, practitioners and scholars aiming to enhance the sustainable performance of banks within the competitive business landscape.

This paper aims to depict an extensive and cohesive picture of future banking’s dimensions and components.

A two-step qualitative approach has been applied. First, an extensive scanning has been carried out to identify megatrends and best practices. Second, applying meta-synthesis analysis, more than 186 up-to-date references were strategically scanned to elicit dimensions and components of future banking.

This research has had twofold findings. The direct and explicit results were the main dimensions of banking in the future: information technology, employees, customers, diversified services, organizational structures and farsightedness. The implicit findings were also remarkable: many entities are thinking about future of banking, mostly in financial technology dimension; the departure from traditional banking has recently been accelerated; and more works need to be done to have a comprehensive map of banking in the future.

As the research methodology was based upon a literature review, it lacks covering some hidden or less flashing dimensions such as future business models, merging between banks and other financial or technological firms in advance, the evolution of organizational structures, etc., which would be captured by applying other methods such as expert Delphi panels.

Planners in the banking industry can benefit from the direct findings. They may extend the results, customize and prioritize the components to provide a competitive business model in the future market of banking.

The novelty of this paper lies in a cohesive representation of future banking dimensions and components, which is created by a systematic methodology and broad literature review.

This paper aims to investigate the linear and nonlinear interactions between the blockchain technology index and the UAE stock market index within the context of the Abu Dhabi and Dubai banking sector.

In this study, linear analysis was performed using the generalized autoregressive conditional heteroscedasticity model (GARCH) (1,1) model, whereas nonlinear analysis was performed using the wavelet coherence model.

Based on the results of the GARCH (1) model, the authors find that the blockchain technology index has a positive significant impact on stock market returns in the Abu Dhabi and Dubai banking sector. In addition, the findings indicate that increasing blockchain integration in the banking industry decreases banks’ stock market volatility and facilitates price stabilization. Additionally, the coherence wavelet analysis reveals that there is a phase relationship between the blockchain technology index and banks’ stock market indices in the banking sector of the UAE. The association was stronger during the global pandemic crisis because they were moving together across different timescales.

With the help of the linear analysis, this study offers a focal point and valuable insights to policymakers, central banks and commercial banks management on how implementing blockchain technology in the banking industry help boost stock market returns, reduce volatility and facilitate price stability. As a result of the nonlinear analysis of the significant long-term degree of co-movement between blockchain technology and banks’ stock markets in UAE, policymakers or the management of banks in UAE should take the growth of the blockchain technology industry into consideration to ensure the continued development of the banking sector. For investors, the findings provide implications for portfolio managers operating in the UAE who are encouraged to take short-term co-movement into account (1–16-week horizons) through both frequency and time when designing their portfolio while keeping long-horizon periods in mind is not recommended.

It is a pioneering study that empirically examines the linear and nonlinear nexus between the blockchain technology index and banks’ stock market returns and price stability.