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This study aims to synthesize and integrate findings from diverse research on the antecedents and moderators of customer loyalty in the banking sector. Through a comprehensive meta-analysis, the research seeks to understand the primary drivers of bank loyalty and the potential cultural, economic and social indicators that might influence these relationships.

A rigorous meta-analysis was conducted, analyzing 275 studies with 1,365 effect sizes involving over 134,000 bank customers from more than 50 countries. The research evaluated the effect sizes of the main relationships between loyalty antecedents and consequences and assessed the influence of cultural, economic and social moderators.

The study identified key antecedents of bank loyalty, with responsiveness, privacy, commitment, trust and empathy being paramount. Cultural dimensions, such as individualism and masculinity, significantly moderate the relationships between trust and loyalty. The human development index (HDI) was also identified as a significant economic moderator, particularly influencing the relationship between satisfaction and bank loyalty.

This research offers a holistic view of bank loyalty, bridging gaps from conflicting findings in prior literature. Examining a vast array of studies across diverse cultural and economic contexts provides empirical generalizations about bank loyalty behavior, offering valuable insights for academia and the banking industry.

The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

The purpose of this paper is to illustrate how the Wirecard scandal has highlighted the need for further reforms in Germany and Europe, exposing institutional and market oversight weaknesses, particularly in terms of market integrity and investor protection.

To provide a comprehensive picture of the situation, this paper is based only on relevant studies, which focus on the topic of interest, namely, the context of the Wirecard collapse in June 2020. It also examines how internal and external governance and monitoring mechanisms failed to uncover major fraud within the German payments group earlier.

This study shows that this is by no means an isolated or unpredictable incident, and the allegations of accounting fraud had been known for several years, thanks to warnings from the Financial Times. In addition, the paper reviews the serious shortcomings revealed in the Wambach report. The report provided private details of the Wirecard audit and documents on the relationship between Wirecard management and the auditor. All of this can serve as a reference point for institutional and market oversight architecture in Germany and Europe and pave the way for future research.

The paper contributes to the literature by highlighting the implications of the Wirecard scandal and the lessons that can be learned from what was one of Germany’s biggest corporate scandals especially at a time when many are already affected by the impact of COVID-19 on the entire financial services industry.

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in supply chain finance (SCF). Blockchain technology features have the potential to solve accounting problems. This research focuses on exploring how blockchain technology provides solutions to overcome the barriers of accounting process in SCF. The benefits, opportunities, costs and risks related to blockchain adoption are also explored.

Multi-case study and qualitative methods are used with a framework based on blockchain role to overcome the accounting process barriers. Ten blockchain projects in SCF and 29 interviews of participants as a unit of analysis are considered.

The findings indicate that blockchain technology offers solutions to solve accounting, accountability and assurance problems in SCF. Validity, verification, smart contracts, automation and enduring data on trade transactions potentially solve those barriers. However, it is also necessary to consider costs such as implementation, technology, education and integration costs. Then there are possible risks such as regulatory compliance, operational, code development and scalability risk. This finding reflects the current status of blockchain technology roles in SCF.

This study unveils blockchain's SCF accounting potential, emphasizing multi-case method limitations and future research prospects. Diverse contexts challenge findings' applicability, warranting cross-industry studies for deeper insights. Addressing selection bias and integrating quantitative measures can enhance understanding of blockchain's accounting impact.

Accounting professionals can get an idea of the future direction and impact of blockchain technology on accounting, accountability and assurance processes.

This study provides initial findings on the potential, costs and risks of blockchain that is beneficial for parties involved in SCF, especially for banks and insurance underwriters. In addition, the findings also provide direction for the contribution of blockchain technology to accounting theory in the future.

The purpose here is to show how the “shadow” economy has grown in scale and impetus in recent years, though even before modern times it has been present (e.g. the City of London, Shaxson, 2011) since at least the middle ages. The reasons for this have become complicated, but we can identify some “deep structures” that are common. Firstly, “globalisation” made it easier for multinationals to escape national regulatory regimes. Secondly, one of the ways neoliberal trading regulations allowed such actors to augment their assets was by means of what they initially called “transfer-pricing” but which now is officially known as “profit shifting” through tax havens. Thirdly, the growth in international trade in legal and illegal ways caused money laundering – even by otherwise respectable banks – to grow across borders. Conversely, from the supply-side, tax haven status was increasingly accessed by jurisdictions that sought to achieve economic growth by supplying tax haven services, both Delaware and Ireland as exemplars of a “developmental” fiscal policy.

This paper adopts a “pattern recognition” design, an approach that is abductive, meaning interpretive, as shown in the observation that explanation can be valid or reliable without direct observation. This is shown in the indirect observation that “rain fell because the terrace has puddles” or “ancient glaciers once carved this valley”.

Reviewing the European Union’s (EU) list of non-co-operating jurisdictions in support of the OECD’s review of base erosion and profit-shifting activity, Collin concluded the EU’s listing “moved the needle” somewhat but was only a modest success. This is because of its reluctance to sanction its own members or large economies like the USA. Data on foreign direct investment and offshore banking assets suggest listed jurisdictions did not suffer notably from being named and shamed. In all cases studied, this contribution found legally damaging, fraudulent, conflict of interest and corrupt practice activities everywhere.

The originality is found in three spheres. Firstly, the pattern recognition method was vindicated in yielding hard to research results. Secondly, the “assemblage-thirdspace” theory was found advantageous in demonstrating the uneven geography of tax haven clusters and their common history in turbocharging economic development. Finally, the empirics showed the ruses executed by cluster members in tax havens to circumvent the law from global management consultancies to micro-firms consisting of tax lawyers and other experts interacting in knowledge supply chains of dubious morality.

This empirical study explores the intricate relationships between Industry 4.0 (I4), Lean practices and sustainable operational performance (SOP) within the dynamic context of the services sector. Rooted in the theoretical framework of Resource Orchestration Theory (ROT), the research investigates the nuanced interplay between these paradigms and their collective impact on firm performance.

The research methods included creation of a structural model, hypothesis formulation and advanced data analysis. Primary data were gathered through an online questionnaire distributed among service sector professionals. Analysis was completed using Partial Least Squares (PLS) Structural Equation Modeling (SEM) using the Smart-PLS software.

The results underscore the mediating role of Lean practices between I4 and SOP, emphasizing the imperative of harmonized integration to enhance overall firm performance. In alignment with ROT principles, the study illuminates the positive influence of Lean practices on sustainable operational outcomes.

The study contributes to the scholarly discourse on I4, Lean and Services, emphasizing the strategic necessity of integrating I4 capabilities with Lean practices. Practical insights guide practitioners in orchestrating a balanced adoption of I4 and Lean practices for SOP. This research offers actionable insights for industry leaders seeking to cultivate SOP within their organizational contexts.

This study contributes to the evolving understanding of the interplay between I4, Lean practices and SOP within the services sector, offering novel insights for both academia and industry practitioners.

Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role.

The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique.

The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan.

Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE.

The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes.

This paper aims to examine how the diversity of educational levels within bank boards influences the efficiency and stability of banks operating in the Middle East and North Africa (MENA) region. Unlike previous studies, this analysis also investigates the role of board gender diversity in moderating the relationship between board educational level diversity and bank efficiency and financial stability in MENA.

In this study, a sample of 77 banks in the MENA region spanning the years 2011 to 2018 is used. The relationship between the presence of highly educated directors on the board, bank efficiency and stability is assessed using the ordinary least squares method. Additionally, the authors use the Generalized Method of Moments technique to correct endogeneity problem.

This study establishes a positive association between the presence of directors with advanced educational backgrounds on bank boards and bank efficiency and stability. Furthermore, the inclusion of women on the board strengthens this relationship.

These findings have important implications for policymakers and regulators in the MENA region, suggesting that promoting diversity policies that encourage the participation of highly educated directors on bank boards can contribute to enhanced efficiency and financial stability. Policymakers may also consider implementing quotas or guidelines to improve gender diversity in board appointments, thereby fostering bank performance in the region.

This study stands out for its innovation and distinctiveness, as it delves into the connection between board educational level diversity and bank efficiency in the MENA region. Notably, it surpasses previous research by investigating the moderating role of board gender diversity, thus offering valuable insights into the complex interplay between these two facets of board diversity. This contribution enriches the existing literature by providing novel perspectives on board composition dynamics and its influence on bank efficiency and stability.

The income structure of banks has undergone a notable change in recent decades; therefore, non-interest-based activities have gained much attention. This paper aims to examine the impact of income diversification on bank performance in Pakistan.

A balanced panel data set of 20 Pakistani commercial banks is used from 2007 to 2020. The random effect model is employed to test the relationship between income diversification and financial performance.

The empirical results indicate a significant positive impact of income diversification of banks on risk-adjusted returns on assets and equity. Moreover, while banks' risk-adjusted profit performance improves with the increase in bank size, equity ratio and loan ratio, it deteriorates with high credit risk and technology. However, geographical diversification does not explain financial performance in all the risk-adjusted return on equity models. Among the macroeconomic factors, the interest rate influences bank risk-adjusted returns positively, whereas gross domestic product and inflation rate have a negative effect on banks' financial performance.

To the best of the author's knowledge, this study is the first to empirically investigate the relationships between income diversification and the risk-adjusted profits of Pakistani-listed commercial banks. This study has implications for regulators and policymakers of commercial banks.

This study examines the impact of financial technology (FinTech) on bank performance employing data from the United Kingdom (UK) banking sector for a period spanning from 2010 to 2019.

This study employs static as well as dynamic panel data regression analysis to assess the impact of FinTech on the profitability of UK banks.

The results show that FinTech firms positively impact bank performance. For every new FinTech firm introduced into the UK market, net interest margin (NIM) and yield on earning assets (YEA) increase by 6.385 and 3.192% of their sample means, respectively.

Cooperating with FinTech firms, UK banks can broaden their portfolio of financial services offered to their customers and optimize their profit margins.

This is the first study that examines the impact of FinTech on bank profitability employing data from a developed market.