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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.

This study aims to examine the impact of economic globalization on bank profitability in Sub-Saharan Africa.

The empirical analysis is based on panel data of banks spanning 2008–2016. Relying on the KOF Globalization Index, the study uses financial globalization and trade globalization as measures of economic globalization. The authors employ the system generalized method of moments technique to establish the relationship between economic globalization and bank profitability while controlling for the effect of bank-specific and macroeconomic factors.

The results show a negative significant effect of financial and trade globalization on bank profitability, signifying the intense competition of banks in Sub-Saharan Africa accelerated by globalization. The negative effect of economic globalization holds irrespective of the indicator of bank profitability. Bank size exerts a significant effect on profitability though the impact is negative for return on equity measure. The findings further reveal a positive significant impact of GDP growth and inflation on profitability.

This paper presents a pioneering work on the impact of economic globalization on bank profitability in the Sub-Saharan African context per the researchers' knowledge.

Academic research has intensively analyzed the relationship between market concentration or market power and banking stability but provides ambiguous results, which are summarized under the concentration-stability/fragility view. We provide empirical evidence that the mixed results are due to the difficulty of identifying reliable variables to measure concentration and market power.

Using data from 3,943 banks operating in the European Union (EU)-15 between 2013 and 2020, we employ linear regression models on panel data. Banking market concentration is measured by the Herfindahl–Hirschman Index (HHI), and market power is estimated by the product-specific Lerner Indices for the loan and deposit market, respectively.

Our analysis reveals a significantly stability-decreasing impact of market concentration (HHI) and a significantly stability-increasing effect of market power (Lerner Indices). In addition, we provide evidence for a weak (or even absent) empirical relationship between the (non)structural measures, challenging the validity of the structure-conduct-performance (SCP) paradigm. Our baseline findings remain robust, especially when controlling for a likely reverse causality.

Our results suggest that the HHI may reflect other factors beyond market power that influence banking stability. Thus, banking supervisors and competition authorities should investigate market concentration and market power simultaneously while considering their joint impact on banking stability.

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.

The purpose of this study is to examine both the responses of auditees to corporate governance audit (CGA) regulation and the practices of CGA auditors.

The study used a mixed method. Content analysis of 200 annual and CGA reports was carried out for 13 years, from 2008 to 2021, split into voluntary disclosure and mandatory disclosure periods. Quantitative analysis was also conducted using Kruskal–Wallis and Dunn's tests. Data gathered were interpreted through the lens of isomorphism and Oliver's (1991) strategic responses to institutional processes.

The study revealed that in the voluntary disclosure period, auditees responded mainly with acquiescence, motivated by mimetic isomorphic pressure. In the mandatory disclosure period, auditee responses ranged from acquiescence to dismissal of corporate governance regulation (i.e. coercive isomorphic pressure). Auditor reporting of CGA findings was found to be heterogeneous, suggesting that normative and mimetic isomorphism did not homogenize auditor practices.

The absence of uniform auditee responses to CGA regulation during the mandatory disclosure period suggests that the purpose of mandating the regulation has not yet been achieved and may signal inadequate coercive isomorphic pressure from the Financial Reporting Council of Nigeria (FRCN). Similarly, heterogeneous reporting of CGA findings by corporate governance auditors inhibits the comparability of audit findings, limiting their value for information users.

This study examines corporate governance auditor practices and auditee responses to corporate governance audit regulation.

This paper investigates the effect of financial development on bank profitability. The authors examine whether financial development is an important determinant of bank profitability.

The ordinary least square and the generalized method of moments regression methods were used to analyze the impact of financial development on the profitability of the Nigerian banking sector.

The authors find a significant negative relationship between the financial system deposits to GDP ratio and the non-interest income of Nigerian banks. This indicates that higher financial system deposits to GDP depresses the non-interest income of Nigerian banks. The result implies that the larger the size of the Nigerian financial system, the lower the profitability of banks in Nigeria. Also, the authors observe that bank concentration, nonperforming loans, cost efficiency and the level of inflation are significant determinants of the profitability of Nigerian banks.

It is recommended that regulators should establish market-enabling policies that encourage new banks to emerge in the banking industry. The entry of new banks can lead to increase in financial system deposits and credit supply for economic growth. Regulators also need to understand the role of Nigerian banks in promoting financial development and find ways to collaborate with banks towards financial sector development. Another implication of the findings for asset managers is that asset managers will need to take into account the prevailing level of financial development, particularly the size of the financial system, in their asset pricing and investment decisions. This will ensure that investors get value for their investments in Nigeria. The financial implication of the study is that the level of financial development in Nigeria can improve the finance-growth linkages in Nigeria through the efficient allocation of credit and capital to crucial sectors of the Nigerian economy to spur growth in those sectors.

Evidence dealing with how financial development affects the profitability of the banking sector in African countries is scarce in the literature, and is completely absent for Nigeria. This paper addresses this research gap.

Systemic risk is of concern for economic welfare as it can lower the credit supply to all the sectors within an economy. This study examines for the first time the complete hierarchy of variables that drive systemic risk during normal and crisis periods in Pakistan, a developing economy.

Secondary data of the bank, sector and country variables are used for the purpose of the analysis spanning from 2000 to 2020. Systemic risk is computed using marginal expected shortfall (MES). One-step and two-step system GMM is performed to estimate the impact of firm, sector and country-level variables on systemic risk.

The findings of the study highlight that sector-level variables are also highly significant in explaining the systemic risk dynamics along with bank and country-level variables. In addition, economic sensitivity influences the significance level of variables across crisis and post-crisis periods and modifies the direction of relationships in some instances.

The study examines the systemic risk of a developing economy, and findings may not be generalizable to developed economies.

The outcome of the study provides a comprehensive framework for the central bank and other regulatory authorities that can be translated into timely policies to avoid systemic financial crisis.

The negative externalities generated by systemic risk also affect the general public. The study results can be used to avoid the systemic financial crisis and resultantly save the loss of the general public's hard-earned holdings.

The firm, sector and country-level variables are modeled for the first time to estimate systemic risk across different economic conditions in a developing economy, Pakistan. The study can also act as a reference for researchers in developed economies as well regarding the role of sector-level variables in explaining systemic risk.

The World Bank-sponsored public financial management reforms attempt to instil fiscal discipline through techno-managerial packages. Taking Ghana's integrated financial management information system (IFMIS) as a case, this paper explores how and why local actors engaged in counter-conduct against these reforms.

Interviews, observations and documentary analyses on the operationalisation of IFMIS constitute this paper's empirical basis. Theoretically, the paper draws on Foucauldian notions of governmentality and counter-conduct.

Empirics demonstrate how and why politicians and bureaucrats enacted ways of escaping, evading and subverting IFMIS's disciplinary regime. Politicians found the new accounting regime too constraining to their electoral and patronage politics and, therefore, enacted counter-conduct around the notion of political exigencies, creating expansionary fiscal conditions which the World Bank tried to mitigate through IFMIS. Perceiving the new regime as subverting their bureaucratic identity and influence, bureaucrats counter-conducted reforms through questioning, critiquing and rhetorical venting. Notably, the patronage politics of appropriating wealth and power underpins both these political and bureaucratic counter-conducts.

This study contributes to the critical accounting understanding of global public financial management reform failures by offering new empirical and theoretical insights as to how and why politicians and bureaucrats who are supposed to own and implement them nullify the global governmentality intentions of fiscal disciplining through subdued forms of resistance.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.

This paper examined tax compliance and its impact on agrochemical traders in Ghana.

Based on the registered agrochemical lists obtained from the Plant Protection and Regulatory Service Department, 92 agrochemical traders were sampled for data collection. Probit regression was used to estimate determinants of tax compliance, whereas the Inverse Probability Weighted Regression Adjustment Model was employed to evaluate the impact of tax compliance on business performance.

The results revealed that age and gender relate positively to enforced tax compliance, while education positively impacts voluntary tax compliance. Nonetheless, tax rate, trust and monthly sales positively affect voluntary tax compliance but negatively impact enforced tax compliance. Inversely, while authorities’ power negatively impacted voluntary compliance, it positively influenced enforced tax compliance confirming the Slippery Slope Framework.

To the best knowledge of the authors, this paper is the first to investigate tax compliance determinants and impact among agrochemical traders, despite the tremendous growth of the agrochemical sub-sector in Africa and Ghana. Therefore, this study makes a modest contribution to empirical studies that validate the Slippery Slope Framework in promoting tax compliance in the agricultural and agribusiness sectors of a developing country. Similarly, it also unearths the impact of tax compliance on agribusiness growth which has yet to be highlighted in the extant literature.