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The purpose of this paper is twofold: to examine the relationship between institutional pressures and risk governance in financial institutions (FIs) in Uganda and to establish mediational role of collectivist orientation in the relationship between institutional pressures and risk governance in financial institutions in Uganda.

The study adopts a cross-sectional and quantitative research design. The authors employed Statistical Package for Social Sciences (SPSS) and Partial Least Square Structural Equation Modeling (SmartPLS 3.3.0 for professionals) to test hypotheses.

The results indicate that institutional pressures is significantly associated with risk governance in FIs. The study also finds collectivist orientation partially mediates the relationship between institutional pressures and risk governance in FIs in Uganda.

To the best of the authors’ knowledge, this study provides initial empirical evidence on the relationship between institutional pressures, collectivist orientation and risk governance using evidence from a developing African country – Uganda. Additionally, this study provides an initial evidence of the mediating role of collectivist orientation in the relationship between institutional pressures and risk governance in FIs.

Many developing countries have encountered frequent pollution accidents during their rapid development, while the previously weak environmental insurance systems could seriously undermine the progress of sustainable development. Some developing countries like China has initiated and strengthened environmental pollution liability insurance, so how effective this system would be in resolving enterprises environmental risks need to be further revealed.

This research identifies the possible consequence that compulsory environmental pollution liability insurance pilot (CEPLIP) policy would bring to the risk-taking capacity of heavy-polluting corporations of China by the Differences-in-Differences (DID) approach.

The result supports the implementation of CEPLIP policy in increasing corporate risk-taking capacity. Furthermore, the CEPLIP policy can promote the corporate’s risk-taking capacity by reducing financial distress constraints and enhancing trade credit, supporting its dual role of “fallback effect” as well as “external supervision effect” of environmental insurance. As a result of heterogeneity test, the policy is more pronounced in enterprise samples with mature life cycle stage or lower industrial concentration degree. Similarly, it is more significant in enterprise samples owned better environmental management capabilities or greater strategic deviance.

This paper verifies the effectiveness of the CEPLIP policy by strengthening its supervision mechanism and restraining opportunistic behavior tendency and provides implications for alleviating increasing environmental risk pressure and building more sustainable environmental protection management systems.

This study aims to explore the effects of responsible international investment in a least developed country (LDC) on ethics and corruption in the local industry. While investment growth in least developed countries (LDCs) is essential to meet the United Nations Sustainable Development Goals, international investment in LDCs poses challenges, including corruption. The authors explore perspectives from relevant stakeholders on the influence, if any, on an LDC’s banking sector, of investment in the LDC by a multinational bank with an environmental, social and governance focus – using a case study of Standard Chartered Bank (SCB) in Nepal.

The authors conducted thematic analysis on: focus groups with current and former SCB Nepal management; semi-structured interviews with Nepal banking regulator representatives; senior staff from SCB global divisions; and management of other commercial banks in Nepal.

Knowledge transfer, organisational enablers and constructive international competition contributed to the dissemination of best practices within the Nepal banking sector, supporting the notion of beneficial spill-over effects of multinationals on LDC host countries.

Practical insights will aid LDC governments, international businesses, investment funds and donor organisations seeking to invest in/assist LDCs with economic development.

To the best of the authors’ knowledge, this may be the first case study on ethics and anti-corruption practices of a multinational bank in a LDC. Through a practice-driven focus, the authors provide “on-the-ground” insights to better understand the complex nature of corruption.

The authors examine the impact of audit quality (AQ) on classification shifting (CS) among non-financial firms operating in the UK and Germany.

This paper used various audit committee variables (size, meetings, gender diversity and financial expertise) to measure AQ and its impact on CS. The authors used a total of 2,110 firm-year observations from 2010 to 2019.

The authors found that the presence of female members on the audit committee and audit committee financial expertise deter the UK and German managers from shifting core expenses and revenue items into special items to inflate core earnings. However, audit committee size is positively related to CS among German firms but has no impact on UK firms. The authors also document evidence that audit committee meetings restrain UK managers from engaging in CS. However, the authors found no impact on CS among German firms. The study results hold even after employing several tests.

Overall, the study findings provide broad support in an international setting for the board to improve its auditing practices and offer essential information to investors to assess how AQ affects the financial reporting process.

Most CS studies used market-oriented economies such as the USA and UK and ignored bank-based economies such as Germany, France and Japan. The authors provide a comparison among bank and market-oriented economies on whether the AQ has a similar impact on CS or not among them.

This study aims to examine the impact of environmental, social and governance (ESG) reporting on accruals-based earnings management (AEM) activities in Kuwait.

Based on a random-effects regression analysis, this study examines the relationship between sustainability reporting (SR), as determined by the intensity degree method and EM, as measured by AEM, using panel data from 37 listed Kuwaiti companies on the Kuwait Stock Exchange between 2017 and 2021.

Empirical results reveal that SR affects EM in Kuwait. It appears that socially responsible Kuwaiti firms concentrate their efforts on fostering transparency and integrity in their interactions with stakeholders rather than engaging in misleading practices.

This study suggests a range of practical implications in Kuwait and similar economies. The findings highlight that SR can be advantageous for individuals, policymakers and corporations by promoting positive impact, addressing sustainability targets, building stakeholder confidence, reducing the risk of exposure to environmental, social and ethical liabilities and enhancing public well-being.

This study creates a unique ESG data set for Kuwait, unavailable in academic research. Building upon previous study that focused only on the environmental aspect (Gerged et al., 2020), this research, however, adopts a broader approach by investigating the overall impact of ESG reporting on EM in Kuwait, making it the first study to explore this relationship in this country.

This study aims to explore the effects of internal financial technology (FinTech) integration within Jordanian banks on their performance metrics, specifically focusing on profitability, risk-taking and stock returns.

Using panel data analysis, this study investigates the financial performance of 13 listed commercial banks in Jordan over a decade, from 2010 to 2019, to examine the hypothesized impacts of bank FinTech developments. In addition, several robustness tests addressing potential issues of endogeneity and autocorrelation are conducted to enhance the reliability of the results.

The results reveal that the bank FinTech development significantly enhances bank profitability and inversely affects risk-taking levels, indicating a substantial and positive impact on financial performance and stability. However, the results suggest no significant evidence of the effect of bank FinTech development on stock return.

The findings advocate for Jordanian commercial banks to continue and expand their investment in FinTech innovations, highlighting the crucial role these technologies play in enhancing financial performance and reducing bank risks. Additionally, these findings suggest that regulatory bodies and policymakers should develop and enhance institutional and regulatory environments to support and guide the FinTech evolution within the banking sector.

This study sheds light on the relatively under-researched area of internal bank FinTech. It provides critical insights into how FinTech integration within banks contributes to their profitability and stability, offering another perspective that enriches the FinTech literature. This contribution is essential for devising future strategies, developing theoretical frameworks and informing policy decisions in the FinTech domain.

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.

The purpose of this research paper is to investigate the perspectives of key stakeholders on strategies to improve the effectiveness of audit committees (ACs) in African economies, with a specific focus on the Libyan banking sector.

The study uses a mixed-methods approach, combining questionnaire surveys and semi-structured interviews. The data collection process involves gathering responses from participants through questionnaires and conducting in-depth interviews to gain deeper insights into the subject matter.

The research findings highlight several key points. Firstly, fortifying Libya’s accounting and auditing profession emerges as the most widely endorsed suggestion for enhancing AC effectiveness. Secondly, participants identified various actions that can strengthen ACs, including appointing members with financial expertise, refining the legal requirements governing AC responsibilities, securing board support, enhancing Libya’s legal and regulatory framework, adequately compensating AC members and reducing government intervention in AC practices.

This research contributes to the field of corporate governance by providing valuable insights into the perspectives of stakeholders on enhancing AC effectiveness in the Libyan banking sector, within the broader context of African economies. The findings offer actionable plans for regulators and policymakers seeking to improve AC effectiveness in Libya.

The purpose of this study is to analyse cyberfraud in the South African banking industry using a multiple regression approach and develop a predictive model for the estimation and prediction of financial losses due to cyberfraud.

To mitigate the occurrence of cyberfraud, this study uses the multiple regression approach to correlate the relationship between financial loss and cyberfraud activities. The cyberfraud activities in South Africa are classified into three, namely, digital banking application, online and mobile banking fraud. Secondary data that captures the rate of cyberfraud occurrences within these three major categories with their resulting financial losses were used for the multiple regression analysis that was carried out in the Statistical Package for Social Science (SPSS, 2022 environment).

The results obtained indicate that the South African financial institutions still incur significant financial losses due to cyberfraud perpetration. The two main independent variables used to estimate the magnitude of financial loss in the South Africa’s banking industry are online (internet) banking fraud (X2) and mobile banking fraud (X3). Furthermore, a multiple regression model equation was developed for the prediction of financial loss as a function of the two independent variables (X2 and X3).

This study adds to the literature on cyberfraud mitigation. The findings may promote the combat against cyberfraud in the South Africa’s financial institutions. It may also assist South Africa’s financial institutions to predict the financial loss that financial institutions can incur over time. It is recommended that South Africa’s financial institutions pay attention to these two key variables and mitigate any associated risks as they are crucial in determining their profitability.

Existing literature indicated significant financial losses to cyberfraud perpetration without establishing any relationship between the magnitude of losses incurred and the prevalent forms of cyberfraud. Thus, the novelty of this study lies in the analysis of cyberfraud in the South African banking industry using a multiple regression approach to link financial losses to the perpetration of the prevalent forms of cyberfraud. It also develops a predictive model for the estimation and projection of financial losses.