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The objective of this study is to investigate the association between audit committee characteristics and audit report lag in the context of listed manufacturing companies in Bangladesh.

Data from 240 firm-year observations for 2018–2022 are collected and analyzed using both the pooled-ordinary least squares (OLS) model with panel corrected standard errors (PCSE) and the Bayesian regression model. The results are explained in line with the agency theory and resource dependence theory.

The study reveals that audit committee size, gender diversity and expertise are negatively and significantly associated with audit report lag. The results remain consistent using the lag model, which indicates that the current year’s audit committee can have an impact on the subsequent year’s audit report lag.

The study has been conducted in the context of Bangladesh and thus cannot be generalized for other countries.

The study implies that companies should form large audit committees and ensure higher participation of female members and expert members in forming such committees. Policymakers and regulators can also play roles in this regard to ensure the timely issue of audit reports.

This is one of the pioneer studies to investigate the link between audit committee characteristics and audit report lag in the context of an emerging economy like Bangladesh. This study advocates agency theory by linking audit committee characteristics to reduced information asymmetry and contributes to resource dependence theory by emphasizing their role in enhancing financial reporting timeliness.

The shadow economy (SE) has been a serious issue with varied dimensions in all countries that significantly affect economic growth. Therefore, all countries have made an effort to tackle the SE by pursuing several measures. This study aims to investigate the impact of financial markets (stock and bond) in reducing the SE while considering the role of country risk (political, economic and financial) in N-11 countries.

The study employed first-generation methodological techniques, including a unit root test to identify stationarity in the series, a panel cointegration test and panel autoregressive distributive lag (ARDL) to estimate long-run and short-run relationships. Finally, the Granger causality is applied to determine the direction of the causal relationship.

The study explored that country risk factors are crucial in reducing the size of the SE. Moreover, the significant moderating role of country risk factors in the financial market development and SE nexus suggests that by controlling the country's risk, financial market development can negatively affect the SE.

Due to the availability of data, the study used data, ranging from 1995 to 2015, because the tax burden data is available from 1995 while the maximum data for the SE is available till 2015, using Medina and Schneider's (2019) data estimates for the SE.

The previous studies have focused explicitly on the role of financial institutions' development in the SE. To the best of the author's knowledge, no previous study is attempted to investigate the role of financial markets (bonds and stock) in the size of the SE. Furthermore, previous studies have ignored the important role of country risk factors in the size of the SE. This study investigates the impact of country risk on the SE and the moderating role of country risk in the development of financial markets and the SE nexus.

The focus on corporate governance has increased after the financial collapses of several banks worldwide, such as Silicon Valley Bank and First Republic Bank in the USA, and the failure of the Lebanese banking sector. This study examines the impact of audit committee (AC) characteristics on financial performance and investigates the moderating effect of ownership concentration (OC) on the associations between AC characteristics and profitability.

The current research is carried out based on 211 Lebanese banks’ annual reports, focusing on the period from 2012 to 2021. The ordinal least squares (OLS) and the hierarchical multiple regression analysis were adopted to test the study’s hypotheses.

The outcomes reveal that AC size, AC frequency of meetings, and banks’ size (control variable) positively affect financial performance; however, OC does not moderate the associations between the AC characteristics and banks’ profitability.

According to the researcher’s knowledge, no prior study has investigated the moderating effect of OC on these associations. Moreover, the current study contributes to the literature that documented mixed and inconsistent results regarding the direct associations between AC characteristics and financial performance.

The author aims to find value relevance of board characteristics and ownership structures in the banking industry of Bangladesh, an emerging economy with absence of good governance.

Pooled Ordinary Least Square (OLS), fixed effect and generalized method of moments (GMM) methods have been utilized to analyse 5-year data of 28 listed banks.

All governance indicators except institutional ownership have insignificant impact on return on asset (ROA) and return on equity (ROE). Institutional ownership has significant negative impact indicating that institutional investors can worsen bank performance in unregulated environments. Additional analysis shows significant positive impact of higher institutional ownership ratios.

Small sample from a single industry of one country may limit the applicability of the findings to all developing economies.

During the fast growth periods of developing economies, institutional investors with small stakes may become value destructive due to speculative behaviour.

This is one of the pioneering studies to suggest that governance mechanisms have insignificant, in some instances adverse, impact on firm value in emerging economies.

This study aims to provide a comprehensive review of the existing literature on corporate governance (CG) aspects of the Malaysian market. It offers insights into the phases of Malaysian CG, identifies crucial gaps in the literature and outlines an agenda for impending research.

Following a systematic literature review approach, a final sample of 125 studies from Scopus and Web of Science databases was used in this study. These studies were selected based on quality assessment criteria. Then, the sample literature was evaluated in terms of journals, methodology, theories, modelling, research outcomes and CG characteristics.

The results show that there is a growing interest among researchers to further explore CG aspects in Malaysia due to the continuous development of the Malaysian CG codes. Likewise, the review reveals that the majority of prior studies are quantitative and were carried out using archived data from non-financial firms. Also, the existing literature has primarily focused on the outcomes of CG, especially firm performance.

Overall, the results show that there is ample room for future research. The present paper identifies a number of methodological problems and concerns, and discusses the implications of these problems, while also providing recommendations for future research. The main caveat is that the authors use scholarly papers published in academic journals only, but this approach offers them with opportunities for considerable further developments.

To the best of the authors’ knowledge, this study contributes to the literature by being the first of its kind to concentrate on the Malaysian context. It provides a comprehensive knowledge assessment of the Malaysian CG research and offers advice regarding improvements in research, policy and practice by identifying possible knowledge gaps. Consequently, this study provides a cohesive story of the past and a road map for future research on Malaysian CG.

Visits to locations connected to historical atrocities, tragedy, suffering, or presumably dreadful events are referred to as “dark tourism”. While Bangladesh may not be widely known for dark tourism, several unexplored avenues may be of interest to those who engage in this type of unique and unconventional tourism experience. In addition to creating job opportunities and income generation in Bangladesh, it can achieve educational objectives, communicate with a broad audience, raise awareness of events of the past, and quench people's thirst for information, which can help them to comprehend a society. Though Bangladesh has several somber locations connected to tragic events including World War II, liberation war sites, mass killing sites, shipbreaking yards, Rohingya refugee camps, riots, and the mother language movement, traditional tourism predominates there. If managed responsibly, these varied resources, somber locations, and histories, some of which date back to 1800, could make Bangladesh a dark tourism destination. Although dark tourism in Bangladesh has the potential to contribute to historical awareness, preservation, educational opportunities, and socioeconomic development, it is yet unexplored due to a lack of knowledge, experience, policy, effective marketing, and some controversies. By approaching responsibly, Bangladesh can leverage its history to attract visitors' interests in exploring the darker aspects of the country's past. Hence, this chapter is designed to explore the status and potential significance, prospects, and challenges of dark tourism in Bangladesh. The findings will help policymakers, tourists, and other stakeholders to explore and enjoy enormous benefits from Bangladesh's untapped dark tourism opportunities.

This study aims to present a detailed investigation of Shariah audit research based on a systematic literature review.

A total of 53 studies were collected from the Scopus and Web of Science databases following a systematic methodology. These studies were analyzed and evaluated based on the theoretical perspective, geographical distribution, research settings and themes background.

The findings indicate an increase in the literature on Shariah auditing over time, especially in the Malaysian context, with a dearth of research in other contexts and institutions (Takaful). It has been also revealed that the existing literature is still unclear about the effectiveness and consequences of effective Shariah auditing, pointing the need for more work on these areas. The authors outline opportunities for future Shariah auditing research.

The synthesized findings are helpful for policymakers and managers to understand better how research in Shariah auditing is developing and how to translate research findings into practice. To the best of the authors’ knowledge, this is the first research to comprehensively synthesize the literature on this topic and identify the potential opportunities for future research directions.

This research is designed to analyze the effectiveness of the audit committee, nomination and remuneration committee, and ownership structure on company performance and how COVID-19 moderates the influence of these governance mechanisms on company performance.

437 annual reports of Indonesian manufacturing companies from 2018 to 2021 were used as research samples using multiple regression analysis and moderated regression analysis.

Good corporate governance plays a role in improving company performance. The presence of COVID-19 affects corporate governance, thereby reducing performance, but good corporate governance can limit this impact.

This research helps companies understand the effectiveness of the supervisory function in improving company performance. This research provides input for companies, regulators, and policymakers to pay attention to good corporate governance, especially when facing a crisis.

To my knowledge, research that examines corporate governance mechanisms and company performance related to COVID-19 and investigates whether COVID-19 moderates the influence of corporate governance mechanisms on company performance has never been conducted.

The purpose of this paper is to investigate whether audit committee characteristics, in particular audit committee size, audit committee activity and audit committee gender diversity, are associated with financial performance in Egyptian banks. The second purpose of this paper is to explore the moderating role of board gender diversity on the relationship between audit committee characteristics and financial performance.

A multiple regression analysis is used to estimate the moderating role of board gender diversity on the relationship between audit committee characteristics and financial performance of a sample of Egyptian banks during the period between 2018 and 2022.

The results indicate that audit committee size has a negative and insignificant effect impact on return on assets (ROA) and return on equity (ROE), respectively. The results also indicate that the audit committee gender diversity has a significant positive impact on ROA and ROE, respectively. Regarding audit committee activity, the number of board meetings has a negative and insignificant effect on ROA and ROE, respectively. Regarding gender diversity as a moderating variable, in general there is a positive effect of gender diversity on the relationship between audit committee characteristics and financial performance.

The study was limited to 20 banks in one country, but it sets the tone for future empirical research on this subject matter. The study also relied on one moderating variable, which is board gender diversity. This study provides an avenue for future research in the area of corporate governance and financial performance in other emerging countries, especially other African countries.

This study provides useful insights for managers and policymakers to better understand which audit committee characteristics can best encourage a company to improve financial performance. Furthermore, regulators should ensure that banks strictly adhere to corporate governance principles to build a strong banking industry capable of achieving economic development.

Banks will benefit equally from valuable qualities across demographic groupings in society by having females on the audit committee and appropriate audit committee meetings. Additionally, if audit committee members are correctly selected, banks with more females in audit committee and suitable audit committee meetings can successfully contribute to strengthening financial performance and social welfare of diverse segments of society. A culture of good banking governance must emerge to improve bank financial stability and, as a result, greater stability and economic growth.

To the best of the authors’ knowledge, the study is, perhaps, the first to examine the moderating role of board gender diversity on the relationship between audit committee characteristics and financial performance in Egyptian banks. This study adds to the literature by investigating such an issue in a developing economy that operates in a different context than those in developed countries.

The purpose of this paper is to predict the machining performance of electrical discharge machining of Ti-13Nb-13Zr (TNZ) alloy, a promising biomedical alloy, using artificial neural networks (ANN) models.

In the research, three major performance characteristics, i.e. the material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR), were chosen for the study. The input parameters for machining were the voltage, current, pulse-on time and pulse-off time. For the ANN model, a two-layer feedforward network with sigmoid hidden neurons and linear output neurons were chosen. Levenberg–Marquardt backpropagation algorithm was used to train the neural networks.

The optimal ANN structure comprises four neurons in input layer, ten neurons in hidden layer and one neuron in the output layer (4–10-1). In predicting MRR, the 60–20-20 data split provides the lowest MSE (0.0021179) and highest R-value for training (0.99976). On the contrary, the 70–15-15 data split results in the best performance in predicting both TWR and SR. The model achieves the lowest MSE and highest R-value for training in predicting TWR as 1.17E-06 and 0.84488, respectively. Increasing the number of hidden neurons of the network further deteriorates the performance. In predicting SR, the authors find the best MSE and R-value as 0.86748 and 0.94024, respectively.

This is a novel approach in performance prediction of electrical discharge machining in terms of new workpiece material (TNZ alloys).