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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.

Growing concern over sustainability adoption has presented an array of challenges to businesses. While vital to an economy's success, banking is not immune to societal, environmental and economic consequences of business practices. The study has examined the sustainable performance of banking institutions on the suggested multidimensional framework comprising economic, environmental, social, governance and financial dimensions and 52 sustainability indicators. The study benchmarks the significant performance indicators of leading banks indispensable to sustainable banking performance. The findings attempt to address research questions concerning the extent of sustainable banking performance, ranking the sustainability dimensions and indicators and standardizing sustainability adoption metrics.

To determine the responsiveness of the banking industry to sustainability dimensions, content analysis was conducted using NVivo software for the year 2021–2022. Furthermore, a hybrid multicriteria decision-making (MCDM) approach is used by integrating entropy, the technique for order preference by similarity to ideal solution (TOPSIS) and VlseKriterijumska Optimizacija KOmpromisno Resenje (VIKOR) to provide relative weights to performance indicators and prioritize banks based on their sustainable performance. Sensitivity analysis is used to ensure the robustness of results.

In the context of the Indian banking industry, the pattern of sustainability reporting is inconsistent and concentrated on addressing environmental and social concerns. The results of the entropy methodology prioritized “Environmental” sustainability over other selected dimensions while “Financial” dimension has been assigned the least priority in the ranking order. The significant sustainable performance indicators delineated in this study should be used as standards to ensure the accountability and credibility of the sustainable banking industry. Additionally, the research findings will provide valuable inputs to policymakers and regulators to assure better contribution of the banking sector in meeting sustainability goals.

Considering the paucity of studies on sustainable banking performance, this study makes two significant contributions to the literature. First, the suggested multidimensional disclosure model integrating financial and nonfinancial indicators would facilitate banking institutions in addressing the five aspects of sustainability. As one of the first studies in the context of the Indian banking industry, the findings would pave the way for better diffusion of sustainability practices. Second, the inclusion of MCDM techniques prioritizes the significance of sustainability indicators and benchmarks the performance of leading banks to achieve better profits and more substantial growth.

The increased concerns for the environment have led organizations, businesses and nations to act environmentally friendly. This has also pressurized the banking sector to adopt green practices. However, there is a dearth of studies related to green banking (G-banking) adoption practices (GBAP) on banking performance. Hence, by considering the resource-based view theory, this study aims to examine the impact of GBAP on banking performance, i.e. financial, operational and environmental performance.

The data was acquired from banking personnel in Pakistan using a five-point Likert scale questionnaire and a non-probability purposive selection technique. In total, 400 responses were gathered, on which data screening was performed to detect and delete outliers. On a useful sample of 360, partial least square-structural equation modeling was used to validate the hypotheses.

The findings revealed that GBAP positively affects the environmental, operational and financial performance of the banks. The findings further revealed that GBAP largely affects environmental performance followed by operational performance and financial performance, respectively.

The study findings offer various insights to the policymakers and the banking sector to better implement G-banking practices in improving banking performance.

To the best of the authors’ knowledge, this is one of the first studies to look at the effect of GBAP on key performance outcomes, i.e. financial and operational performance. This study also verifies the use of resource-based perspective theory in the context of G-banking.

The purpose of this study is to develop an Islamic Banking Index representing the Islamic banking model and to investigate its impact on the performance of Islamic and conventional banks. This study also analyzes the impact of Islamic financial development on bank performance.

The authors collected the data from 23 countries for the period from 2010 to 2018 and developed a composite Islamic Banking Index. The authors applied the generalized method of moments on 3,542 bank-year observations for both Islamic and conventional banks to analyze the impact of the Islamic Banking Index on bank performance. The results of the study are robust to time-fixed effects, country-level time-varying factors and endogeneity issues.

The authors found that Islamic Banking Index positively contributes to the return on assets (ROAit) of Islamic banks only. This impact becomes highly significant in countries with comparatively higher Islamic financial development. This finding suggests that the Islamic financial development in a country provides a supportive operating environment to Islamic banks and increases their performance. The authors also found that Islamic Banking Index positively contributes to the return on equity (ROEit) of both types of banks.

The authors argue that moving away from interest-based products and focusing more on diversified portfolios can boost the performance of both types of banks without increasing their risk levels.

To the best of the authors’ knowledge, this is the first study that develops a composite Islamic Banking Index based on differentiating factors of the Islamic banking model and investigates the impact of Islamic Banking Index and Islamic financial development on bank performance.

Sustainable development has now been recognised as the pivot around which development activities should revolve. Banking is an important component in the same and adoption of sustainable banking practices by various banking institutions is a strong driver to achieve sustainable development. The purpose of this paper is to study the level of adoption of sustainable banking tools and the extent to which banking institutions practice the same in India. In addition, the banking institutions have been ranked and categorised on basis of their sustainable banking performance.

The proposed framework focuses on the environmental and social conduct of the banks, who address the issues of sustainability in Indian banking sector. As there is a difference in the economic standards of developed and developing countries, the review of literature helps to figure out the gap in specific frameworks for assessing sustainable banking practices in developing countries. Previous researchers have made an attempt to develop a general framework for assessing the sustainable banking efforts of the banking sector. These studies fall short of indicators on the social dimension of sustainability specifically in the context of less developed countries like India, the social dimensions are is equally a major thrust area along with environmental indicators. Content analysis technique has been used to evaluate sustainable banking performance of the banks and Mann–Whitney U test used to determine the differences in sustainable banking performance of the banks in India.

In Indian banking sector, the adoption of the international sustainability code of conduct is still in its nascent stage. The research indicates that sustainability issues which are of the highest priority for the banks are directly related to their business operations such as financial inclusion, financial literacy and energy efficiency, and banks are more focussed on addressing social dimension of sustainability in banking rather than important dimensions of sustainable banking, namely, environmental management, development of green products and services and sustainability reporting.

The application of the proposed framework reflects the status quo of sustainable banking in India. This study is useful for the banks and all the stakeholders in understanding more about the shortcomings in integrating sustainability issues in banking. Further, the present study also redresses the extant research dearth in the field of sustainable banking in the Indian context.

This is one of the first studies evaluating the sustainable banking performance of the Indian banking sector.

The purpose of this study is to investigate the impact of Internet banking intensity on banks' profitability performance. It also examines the deferential impact of Internet banking intensity on the profitability performance of public and private sector banks.

The study uses data of 67 commercial banks operating in India over 9 years from 2011–2012 to 2019–2020. The volume and value of Internet banking are used as two proxies for Internet banking intensity. Return on assets and return on equity are considered measures of banks' profitability performances. The system GMM model and the three-stage least square (3SLS) model are used to investigate the impact of Internet banking intensity on performance.

The results indicate that the volume and value of Internet banking increase the overall profitability of the banks. The results further reveal that the positive impact of Internet banking on performance is higher in the case of public sector banks which possibly indicates that there are economies of scale of operation.

The results suggest that banks and policymakers should strive to increase internet banking scope to improve performance. Private banks should focus on increasing their customer base to achieve economies of scale and public banks should work on the efficient utilization of resources.

Prior studies investigated the impact of Internet banking adoption on the performance of banks. This study attempted to examine the impact of Internet banking intensity on the profitability performance of banks in the context of an emerging economy.

The study examines the dynamic association between competition, risk-taking, performance and income diversification of frontier and emerging economy (FEE) banks. It additionally, explores the effect of banking sector depth and economic performance on the level of competition, performance and risk-taking behavior of banks in these economies.

The paper adopts a panel vector auto-regressive technique and collects data across ninety (90) FEEs.

The paper finds that competition increases with improvement in the depth of the banking sector, a surge in risk-taking behavior and the adoption of focused strategy by banks. Similarly, income diversification activities are driven by competition, banking sector depth, the state of the economy and bank performance. Additionally, risk-taking behavior, banking sector depth and the state of the economy are relevant in describing bank performance. Also, risk-taking behavior is influenced by bank performance, banking sector depth and economic growth.

The evidence indicates that although competition improves banking sector health, excessive competition and non-competitive banking environment constrain banks’ performance and stability.

This study investigates the role of market concentration and efficiency in banking system stability during the COVID-19 pandemic. We empirically test the hypothesis that market concentration and efficiency are significant determinants of bank performance and stability during the time of crises, using a sample of 575 banks in 20 countries in the Middle East and North Africa (MENA).

The main sources of bank data are the BankScope and BankFocus (Bureau van Dijk) databases, World Bank development indicators, and official websites of banks in MENA countries. This study combined descriptive and analytical approaches. We utilize a panel dataset and adopt panel data econometric techniques such as fixed/random effects and the Generalized Method of Moments (GMM) estimator.

The results reveal that market concentration negatively affects bank profitability, whereas improved efficiency further enhances bank performance and contributes to the banking sector’s overall stability. Furthermore, our analysis indicates that during the COVID-19 pandemic, bank stability strongly depended on the level of market concentration, but not on bank efficiency. However, more efficient banks are more profitable and stable if the banking institutions are Islamic. Similarly, Islamic banks with the same level of efficiency demonstrated better overall financial performance during the pandemic than their conventional peers did.

The main limitation is related to the period of COVID-19 pandemic that was covered in this paper (2020–2021). Therefore, further investigation of the COVID-19 effects on bank profitability and risk will require an extended period of the pandemic crisis, including 2022.

This study provides information that will enable bank managers and policymakers in MENA countries to assess the growing impact of market concentration and efficiency on the banking sector stability. It also helps them in formulating suitable strategies to mitigate the adverse consequences of the COVID-19 pandemic. Our recommendations are useful guides for policymakers and regulators in countries where Islamic and conventional banking systems co-exist and compete, based on different business models and risk management practices.

The authors contribute to the banking stability literature by investigating the role of market concentration and efficiency as the main determinants of bank performance and stability during the COVID-19 pandemic. This study is the first to analyze banking sector stability in the MENA region, using both individual and risk-adjusted aggregated performance measures.

The study intends to evaluate the impact of inflation expectation on the performance of listed commercial banks in India during 2005–2021. Inflation expectation is considered as a direct policy tool by the policymakers for stability of the economy. The study explores how inflation expectation affects the performance indicators of the Indian banking industry while controlling for a wide range of bank-specific factors.

The study applies the generalized method of moments (GMM) on a panel sample of 27 listed bank to analyse the impact of inflation expectation on banking sector performance. The data on inflation expectation are obtained from the household inflation expectation survey introduced in India by the Reserve Bank of India in 2005. Return on assets (ROA), return on equity (ROE) and Tobin's Q have been considered as the banking performance indicators in this study.

Empirical results exhibit that inflation expectation is instrumental in deciding the banking sector's performance. Inflation expectation has been found to have a significant and positive impact on accounting-based measures of banking performance. At the same time, it shows negative impact on the marketing-based measure.

The study gives a clear picture about how inflation expectation affects the banking performance and the monetary policy of the country. The study provides crucial insights to develop strategic decisions for the Indian banking sector. The adoption of proper macroeconomic policies, taking into account inflation expectation levels, is instrumental in enhancing bank's performance and in achieving economic growth.

This study contributes to the growing body of literature on the impact of inflationary conditions on banking performance. The originality lies in capturing the role of inflation expectation solely in determining banking sector performance.

The present study aims to investigate the effect of environmental reporting on the financial performance of banks in India.

The study is based on the secondary data. The sample includes the banks listed in the NSE Nifty Bank Index from 2016–2017 to 2020–2021. The environmental reporting data was obtained through the content analysis technique. The financial data was collected from the CMIE Prowess database. Panel regression analysis was used to analyse the data.

The findings indicate a negative significant influence of environmental reporting on the ROA and ROE of banks. On the other hand, environmental reporting does not significantly influence the EPS of banking institutions.

To the best of the authors’ knowledge, this study is the first to contribute to the scarce literature on the influence of environmental reporting on financial performance, pertinently in the context of a developing nation's banking sector.