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Employees play a vital role in the success of a corporation. While boards of directors are created to protect shareholders’ interests, it is unclear if these directors also ensure employee welfare. In this vein, our paper examines the relationship between board leadership structure and employee well-being.

The authors employ several analysis techniques, including univariate analysis, ordinary least squares (OLS) regressions, two-stage least squares (2SLS) regressions, propensity score matching methodology, the Heckman Selection model and difference-in-differences analysis. The sample comprises USA public firms for the period 1998–2018.

Our findings indicate that having an independent chairperson can significantly benefit the welfare of employees, especially for firms with overly powerful chief executive officers (CEOs) and during times of financial distress.

Independent leadership structure is one of the crucial board characteristics that have not been examined to explain employee welfare at firms. We find that an independent chairperson can mitigate the negative effect of overly powerful CEOs on employee benefits. Importantly, independent chairpersons are beneficial for employees in difficult times and when CEOs are busy with daily activities.

Although the literature on corporate governance and firm innovation finds that board independence is important, this paper proposes that the presence of independent directors alone is not enough to explain their impact on firm innovation. This study analyses if diversity among independent directors may affect the relationship between board independence and firm innovation.

A panel data on a sample of 124 Spanish listed companies for the period 2008–2019 used to test the hypotheses.

Results suggest that independent directors have a negative effect on firm innovation, measured as number of patents, but when there are high levels of gender and nationality diversity among such directors, this negative effect may be mitigated.

Considering that firm innovation is a complex process associated with decision-making and that board independence itself may be not enough, this study goes a step further and delves deeper into the characteristics of independent directors. As far as is known, this paper is the first theoretical and empirical study that considers that independent director diversity as a moderating variable between board independence and firm innovation. Besides, this research contributes to the debate on the role of independent directors in firm innovation and the results may also serve as a guideline for policy makers and firms for structuring boards that are pro-innovation.

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.

This study aims to examine the impact of independent directors' ownership on corporate social responsibility (CSR) performance. In line with the stakeholder-agency paradigm's prediction, the authors propose that higher independent directors' ownership is associated with higher CSR performance. By drawing on the attention-based view, the authors further examine firm-level conditions that impact the situated attention of independent directors holding high equity ownership as they are active agents.

The authors collected data covering the years 2009–2013 for firms listed in the S&P 500 index. The authors tested the hypotheses using firm fixed-effects models.

The results show that higher independent directors' ownership is associated with higher CSR performance. Prior firm performance and available slack resources are found to have diverse impacts on the association between independent directors holding high equity ownership and CSR performance.

This study highlights the importance of examining the performance-based incentives of independent directors on firms' CSR performance. This study also provides a better understanding of factors impacting independent directors' situated attention as boundary conditions.

This paper aims to examine the effects of corporate governance mechanisms (board chairman independence, board independent director meeting attendance, audit committee size and audit committee meetings) on the environmental, social and governance (ESG) and its individual component disclosures of listed firms in Saudi Arabia.

The study used unbalanced panel data obtained from the Bloomberg data set over 11 years, from 2010 to 2020.

The findings indicate that board chairman independence (BCI) and audit committee size (AC size) have a significant negative and positive association with ESG disclosure, respectively. However, the results show that board independent director meeting attendance (BIMA) and audit committee meetings (AC meetings) do not significantly influence ESG disclosure. Regarding the individual dimensions (components), the results show that only BIMA has a significant negative association with environmental disclosure. Besides, only BCI and AC meetings have a significant positive association with social disclosure. Also, only BIMA and AC size have a significant positive and negative relationship with governance disclosure, respectively.

The study used a sample of 29 listed companies in Saudi Arabia. Each firm has at least four years of ESG disclosures. Besides, the paper considered only four corporate governance attributes, comprising two each for the board and audit committee.

The results provide insights to regulators, boards of directors, managers and investors to enhance ESG and its components’ reporting toward the sustainable operations and better performance of Saudi firms.

This study is among the few that provide empirical evidence on how some essential corporate governance attributes that have not been given adequate attention by prior studies (board chairman independence, board independent directors’ meeting attendance, audit committee size and audit committee meetings) influence not only ESG reporting as a whole but also its individual dimensions (components).

The use of digital technologies in the financial service industry has brought new complexities to the corporate governance in banks. Relying on the agency perspective of the shareholder, debtholder and societal governance in banks, this research examines the impact of financial technology innovation (FinTech) on banks' performance by enlightening the monitoring role of female independent directors.

Relying on a sample of Italian banks observed during the period 2016–2020, the authors hand-collected data on the use of FinTech by considering (1) the in-house provisions of FinTech solutions, (2) the collaboration with external FinTech firms and (3) a combination of both measures. The authors run a panel data regression analysis with fixed effects, measuring bank performance through bank competitiveness and bank riskiness.

The authors find that FinTech increases bank competitiveness in gathering money from depositors and that independent women on board mitigate the negative relationship between FinTech and the riskiness of banks' assets, ameliorating the conflicting interests among shareholders, debtholder and societal governance.

This study emphasizes the complexities of bank governance when dealing with FinTech in the wider perspective of equity governance, debt governance and the societal governance spotlighting the importance of appointing female directors in independent positions to enhance the bright sides of financial innovation. The authors enrich the literature on FinTech with a finer understanding of the drivers and implications of in-house provisions of FinTech solutions versus the collaboration with external FinTech firms.

This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).

The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.

Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from gas station and water station) have a direct and significant effect. Still, the variable (distance from fault) has a non-significant impact on increasing housing prices at a city level. In addition, to identify the affecting variables of housing prices, the results confirm the desirability of the geographically weighted regression technique in terms of accuracy compared to the ordinary least squares regression technique in explaining housing prices. The results of this study indicate that the housing prices in Tehran are affected by the access level to urban services and facilities.

Identifying factors affecting housing prices helps create sustainable housing in Tehran. Building sustainable housing represents spending less energy during the construction process together with the utilization phase, which ultimately provides housing at an acceptable price for all income deciles. In housing construction, the more you consider the sustainable housing principles, the more sustainable housing you provide and you take a step toward sustainable development. Therefore, sustainable housing is an important planning factor for local authorities and developers. As a result, it is necessary to institutionalize an integrated vision based on the concepts of sustainable development in the field of housing in the Tehran metropolis.

Prior research shows that co-opted directors adversely impact many corporate outcomes, yet little is known about these directors' impact on CSR performance. The authors investigate whether and how co-opted boards affect the firm's CSR score and component CSR scores.

The authors use panel regression models to investigate this study's research questions and address endogeneity concerns using the system generalized method of moments (system GMM) and a quasi-natural experiment.

The authors report new evidence showing that co-opted boards negatively impact CSR performance based on the CSR score. Results identify board characteristics that accentuate or moderate the effect of co-option on the CSR score and show that board independence, the presence of women on the board, and CEO duality positively and significantly impact the CSR score. These findings are robust across alternative measures of co-option and in the results of models addressing endogeneity concerns. An extended analysis utilizing CSR component scores reveals a significant negative impact of co-option on the environment component score using various measures of co-option and on employee relations, product quality, and human rights component scores using selected measures of co-option.

Findings have implications for board structuring and composition for firms aiming at improving their CSR score.

The study provides new evidence on the impact of co-opted boards on CSR performance. The results help inform stakeholders such as policymakers, executives and directors, shareholders, and capital market participants on how board composition affects socially responsible activities and performance and identify CSR component areas that require attention.

The study aims to explore and establish the relationship that exists between board independence and corporate social responsibility (CSR) practices of Indian firms.

A sample of 76 non-financial companies listed on the National Stock Exchange has been considered for a period of seven years (from 2013 to 2019). The study has used several statistical tools such as the static panel data model and the Arellano–Bond dynamic panel data model based on generalized method of moments approach.

The results of the analysis have indicated board independence to have a significant positive relationship with the firms’ CSR performance. However, board size and number of board meetings have been found to have a negative relationship with CSR. Further, outcomes have also revealed that variables such as companies’ size and liquidity have a positive effect on the extent of CSR activities performed.

The firms which have the intention to engage in impactful CSR activities should support the independent directors’ participation in companies’ boards. The study’s findings suggest the companies to appoint independent directors strategically, keeping in mind the requirements of their board. Also, the independent directors selected should be independent in true sense, i.e. they should not be acquaintances of the company’s chief executive officer. This would ensure unbiased decision-making and would enhance the company’s CSR performance.

In India, CSR has gained great importance. So much so that it was made mandatory by the Companies Act, 2013. However, research studies that may assist in understanding the influence of board independence on Indian firms’ CSR performance are still scarce. The present study would foster value to the existing set of limited literature. Besides, the study has considered the dynamic nature of the relationship and has also controlled the endogeneity bias which has been examined by few studies in the past.