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Some controversial cases of bail-in in the emerging countries have raised the question about whether for those countries to have in place a regulation for the bail-in is appropriate or not. To assess appropriateness, this paper investigates bail-in credibility among investors, as crucial condition for the credibility’s smooth implementation, by measuring the yield spread between bailinable and non-bailinable bonds.

The authors compare the yield spread of banks located in emerging countries that have in place a framework for the bail-in to the comparable yield spread measured for banks located in emerging countries without such framework. The comparison permits to detect whether there is a significant difference between the two spreads, which would suggest that bail-in regulation has been deemed credible by market participants where enforced, or not, which in this case would signal a problem of credibility.

The authors' results point out a significantly higher yield spread for banks located in emerging countries that have adopted a framework for the bail-in of creditors. Bail-in regulation has, therefore, being deemed credible in the adopting emerging countries, thus ensuring a crucial condition for bail-in regulation's smooth application. The authors also point out bank size and country's gross domestic product (GDP) growth as crucial moderators of bail-in expectations of market participants that can guide the implementation of bail-in rules in emerging countries.

This paper contributes to the literature on the credibility of bail-in with a new perspective from the emerging countries.

This study empirically demonstrates a contradiction between pillar 3 of Basel norms III and the designation of Systemically Important Banks (SIBs), also known as Too Big to Fail (TBTF). The objective of this study is threefold, which has been approached in a phased manner. The first is to determine the systemic importance of the banks under study; second, to examine if market discipline exists at different levels of systemic importance of banks and lastly, to examine if the strength of market discipline varies at different levels of systemic importance.

This study is based on all the public and private sector banks operating in the Indian banking sector. The Gaussian Mixture Model algorithm has been utilized to classify banks into distinct levels of systemic importance. Thereafter, market discipline has been observed by analyzing depositors' sentiments toward banks' risk (CAMEL indicators). The analysis has been performed by employing the system Generalized Method of Moments (GMM) to estimate models with different dependent variables.

The findings affirm the existence of market discipline across all levels of systemic importance. However, the strength of market discipline varies with the systemic importance of the banks, with weak market discipline being a negative externality of the SIBs designation.

By employing the Gaussian Mixture Model algorithm to develop a framework for categorizing banks on the basis of their systemic importance, this study is the first to go beyond the conventional method as outlined by the Reserve Bank of India (RBI).

The purpose of this study is to develop a new framework to measure waqif preference of waqf-based qardhul hassan financing in Malaysia.

Using a maqāṣid approach, this study’s data were drawn from 286 valid usable questionnaires to examine the effects of consumer, family, ummah and humanity factors on the preference.

The study found that the said factors sourced from Attia’s maqāṣid al-Shariah were instrumental in determining waqif preference to donate in waqf-based qardhul hassan financing.

Like others, this study’s findings are limited in terms of their generalisations and applications. The theory, context and variables used should be expanded in future works.

The results obtained are useful as a yardstick to enable the offered waqf-based qardhul hassan financing for improved mutual well-being among different classes of the wealth of societal groups in Malaysia. Furthermore, the results provide valuable insights into the direction for practitioners mainly managers involved in introducing waqf-based qardhul hassan financing as a new Islamic social financial instrument for poor and needy folks, at best.

This study is novel in terms of the proposed conceptual framework, where the waqif perspective comes into play.

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

The purpose of this study is to examine donors’ or waqifs’ desire for waqf-based qardhul hassan financing in Malaysia using a maqasid method, where a pragmatic approach is used.

Using judgemental sampling, a total of 275 waqifs participated in this work to identify their preference in donating their money to the facility should it is introduced. Using the developed waqf-based qardhul hassan scale (WAQASCALE), this study examined the preference accordingly. Data were analysed using IBM SPSS 27.

The results obtained were as follows: the first factor considered by the waqifs in donating money was perceived household well-being, followed by perceived recipients’ welfare, perceived mankind benevolence and perceived Muslims’ community security.

The authors developed construct items that had generalisability issues as they were at the infancy stage of development among social finance scientists along with the narrow geographical constraint where the actual survey was conducted.

The results were useful in giving new guidance to state governments and Islamic banks (IBs) in Malaysia to explore further this sort of facility for the improved well-being of those affected by COVID-19. Besides, sustainable development goals (SDGs), such as poverty, hunger and responsible consumption, among others can be addressed effectively for the mutual well-being of those affected by the health crisis in an effort of combating financial hardships in the meeting of basic needs, at least. The partnership between the state government and IBs could lead to the offered qardhul hassan financing-sourced funding from waqf for reduced financial hardships by needy and poor folks.

This study introduced a new WAQASCALE in the context of qardhul hassan financing in Malaysia.

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.

In recent years, the field of financial technology (Fintech) has garnered significant attention due to advancements in technology, evolving consumer preferences and the growing need for financial services that are more accessible and user-friendly. The exponential expansion of Fintech is presenting novel prospects and obstacles for business. This study aims to investigate the relationship between gender diversity on corporate boards and firms’ performance, with a particular focus on the moderating role of Fintech.

The study sample consisted of financial sector firms listed on the Bahrain Bourse (banks and insurance firms) during the period 2016–2022. The data were gathered primarily from annual reports and the Bahrain Bourse website. The independent variable represents the percentage of female directors on corporate boards while firms’ accounting and market-based performance were measured using return on assets and Tobin’s Q variables. The moderating variable, Fintech, was measured using a checklist developed using the Global Fintech Adoption Index. Fixed effect (FE) regression was used to analyze the study data. An alternative gender diversity measure was used to test the reliability of the main regression analysis.

The results of the study indicate a positive relationship between gender diversity on corporate boards and financial performance. Additionally, the findings of the study highlighted the positive impact of Fintech practices on firms’ performance. Nevertheless, the impact of Fintech on the relationship between board gender diversity and corporate performance was found to be insignificant.

The study sample included a particular sector in a single country, which may limit the generalizability of the findings. Also, the current study applied FE regression to analyze the data; however, other econometric approaches could be used to overcome the endogeneity issue.

The findings of this study may have implications for policymakers and society, particularly in terms of promoting gender diversity and Fintech innovation.

This study contributes to the existing body of research by examining the potential impact of the percentage of female directors and the utilization of Fintech on firms’ performance in Bahrain. Given the ongoing endeavors to provide advanced Fintech solutions in the financial sector and the increasing focus on enhancing gender diversity in Bahraini corporate boards, this research aims to provide additional evidence in this domain. Moreover, this study stands out as one of the limited number of research endeavors that use Fintech as a moderating variable in the investigation of the impact of female directors on firms’ performance.

This study investigates the determinants of net interest margin (NIM) and tests the decoupling hypothesis in Turkey's Islamic and conventional banks.

This study has employed a panel quantile model (PQM) to assess the net interest margin (NIM) and test the decoupling hypothesis in the dual banking system of Turkey.

The empirical results show that the impact of equity is positive for both Islamic and conventional banks but relatively more robust for Islamic banks. Moreover, it is observed that return on assets has a positive association with NIM in both types of banking systems. Interestingly, the impact increases from lower to higher quantiles, but a higher acceleration rate is observed for Islamic banks. The study also finds that, as bank stability increases, NIM decreases for both groups of banks but more stably for Islamic banks, resulting in lower margins than conventional banks. Thus, the paper confirms the decoupling hypothesis and suggests that, to increase profit margins, Islamic banks need to increase assets and equity.

The paper confirms the decoupling hypothesis and suggests that to increase profit margin, Islamic banks need to increase assets and equity.

Since both equity and assets contribute positively to interest margins, policymakers in the industry need to increase the size of equity and assets to get maximum returns.

This is one of the first studies to investigate NIM's determinants and test the decoupling hypothesis in the Turkish dual banking system using a non-parametric MCMC panel quantile regression (QRM) model.

This paper aims to examine the determinants of the dividend distribution policy in a banking setting.

Using a sample of 48 Islamic banks and 94 conventional banks from 15 Islamic countries over a period spanning from 2012 to 2019, we document the effect of board gender diversity, executive director profile and governance mechanisms on dividend payment decisions. We also analyze the moderating effect of Islamic banks on the relationship between gender diversity and dividend policy.

We find new evidence on the role of women directors in determining dividend distribution policy and confirm the risk aversion hypothesis, hence contributing to the ongoing debate on gender diversity literature. Our results show that the moderating role of Islamic banks is effective only for small banks.

Our findings have practical implications for shareholders, managers and financial analysts as they suggest rationalizing dividend distribution strategies.

Our study contributes to the growing body of knowledge on dividend policy, gender diversity and Islamic banks.

This study aims to analyze corporate mail and wire fraud penalties, using bounded rationality in decision-making and assessing internal and external influences on prosecutorial choices.

The study analyzed 467 cases from 1992 to 2019, using data from the Corporate Prosecution Registry of the University of Virginia School of Law and Duke University School of Law. It examined corporations facing mail and wire fraud charges and other fraud crimes. Multiple regression linked predictor variables to the dependent variable, total payment.

The study found that corporate penalties tend to be lower for financial institutions or corporations in countries with US free trade agreements. Conversely, penalties are higher when the company is a U.S. public company or filed in districts with more pending criminal cases.

This study’s originality lies in applying the bounded rationality model to assess corporate prosecutorial decisions, unveiling external factors’ influence on corporate penalties.