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This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish effective boards of directors and strengthen their corporate governance mechanisms.

This paper uses machine learning methods to investigate the predictive ability of the board of directors' characteristics on firm performance based on the data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges in China during 2008–2021. This study further analyzes board characteristics with relatively strong predictive ability and their predictive models on firm performance.

The results show that nonlinear machine learning methods are more effective than traditional linear models in analyzing the impact of board characteristics on Chinese firm performance. Among the series characteristics of the board of directors, the contribution ratio in prediction from directors compensation, director shareholding ratio, the average age of directors and directors' educational level are significant, and these characteristics have a roughly nonlinear correlation to the prediction of firm performance; the improvement of the predictive ability of board characteristics on firm performance in state-owned enterprises in China performs better than that in private enterprises.

The findings of this study provide valuable suggestions for enriching the theory of board governance, strengthening board construction and optimizing the effectiveness of board governance. Furthermore, these impacts can serve as a valuable reference for board construction and selection, aiding in the rational selection of boards to establish an efficient and high-performing board of directors.

The study findings unequivocally demonstrate the superiority of nonlinear machine learning approaches over traditional linear models in examining the relationship between board characteristics and firm performance in China. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. The study reveals that the predictive performance of board attributes is generally more robust for state-owned enterprises in China in comparison to their counterparts in the private sector.

The purpose of this paper is to accentuate whether audit quality or other variables matter for the performance of companies in Greece.

This study examines the effect of audit quality on firm performance using data of 75 companies listed in the Athens Exchange in Greece and covering the period 2018–2021. Panel data analysis is applied. The independent variables are audit quality, the size of firms, their age, leverage, liquidity and efficiency ratios. Seven alternative measures of performance are used, including, among others, return on assets and return on equity. Stock returns and risks are used too.

The results provide evidence of a positive relationship between financial performance and audit quality. The opposite is the case for stock returns and risk. On the other explanatory variables, age has a clearly negative relationship with financial performance. The opposite is the case for liquidity and efficiency. The size factor also has some sort of a positive correlation with financial performance, whereas the opposite correlation concerns the leverage ratio.

To the best of the authors’ knowledge, this is the first study to examine the relationship between audit quality and firm performance with data from Greece.

The aim of this study is to analyse the factors that contribute to the disclosure of relational liabilities (RLs) of the US companies.

The study uses content analysis to examine the disclosure of RLs in annual reports of the US companies listed on the Nasdaq-100 index from 2013 to 2015.

The study finds a positive correlation between the disclosure of RLs and gender diversity of the board of directors as well as the education level of the CEO. By contrast, the disclosure of RLs is negatively associated with the age of the CEO. Companies in knowledge-intensive industries also tend to disclose more information about their RLs than those in other industries.

This study focuses on the determinants of RLs, whereas previous research has mainly examined the positive impact of voluntary disclosure of intellectual capital on financial performance. The main objective of this study is to shed light on the factors that influence the disclosure of RLs.

This paper aims to examine the effect of critical mass of women managers on corporate boards on the voluntary disclosure of climate change in a developing country in which the regulations on climate change disclosure is an area of growing research interest.

This study uses logistic panel regression models with a sample of 1,001 firm-years for companies in the Borsa Istanbul 100 Index that were asked to disclose voluntary climate change indicators over the seven-year period from 2014 to 2020 through the Carbon Disclosure Project.

This paper provides evidence from an emerging country that the critical mass of women on the board has no impact on voluntary climate change disclosure. In addition, the presence of independent managers on the board was found to have a significant impact on climate change disclosure. In addition, the results show that larger companies are more likely to report their climate change activities. Large companies are more visible due to their size, are perceived by stakeholders as more polluting and are, therefore, more likely to report on the environment.

The results show that the critical mass of women on the board has no effect on voluntary disclosure of climate change. Empirical tests are still needed to strengthen the overall validity of the critical mass of at least three women on boards in Türkiye.

Despite many valuable insights provided by critical mass theory, very few studies directly address critical mass and voluntary disclosure of climate change. To the best of the authors’ knowledge, this study is the first empirical and comprehensive paper in the Turkish context evaluating critical masses and voluntary corporate climate change giving a comparison between firms listed on financial industry and nonfinancial industry.

This paper aims to examine two types of age-related human resources (HR) practices, i.e. age-specific and age-inclusive HR practices and firm-level (meso-level) factors that foster or hinder the implementation of these two types of practices.

Based on a cross-case analysis of four firms across industries in Thailand, a developing country, the empirical evidence draws on semi-structured interviews with the top managers, HR managers and aging employees of four firms; field visits; nonparticipant observations; and a review of archival documents and Web-based reports and resources.

This paper proposes that age-specific HR practices primarily include those HR practices under the regulation HR bundle and some HR practices under the maintenance and recovery HR bundles. Additionally, the factors fostering the implementation of age-specific HR practices in firms include group corporate culture, nonunionism within the workplace, paternalistic leaders, a focus on the development of internal labor markets within firms and the need for tacit knowledge transfer from aging employees to younger-generation employees, whereas the factors hindering the implementation of age-specific HR practices in firms include age biases within firms. Moreover, age-inclusive HR practices primarily include HR practices under the development HR bundle and some HR practices under the maintenance and recovery HR bundles. Additionally, the factors fostering the implementation of age-inclusive HR practices in firms include the procedural justice climate, the transition from a family ownership structure to a professional ownership structure and result-/output-based corporate culture, whereas the factors hindering the implementation of age-inclusive HR practices in firms include experience-/seniority-based corporate culture. In fact, some of the meso-level factors that foster or hinder the implementation of age-specific and age-inclusive HR practices tend to be influenced by the national institutional and cultural contexts of the developing country where firms that implement such HR practices are located.

This paper aims to fill the research gap by examining both age-specific and age-inclusive HR practices. Additionally, this paper analyzes the factors fostering or hindering the implementation of these two dimensions of age-related HR practices across firms by using a case study of firms in Thailand, a developing country. To date, most studies in this area have focused on one of these dimensions, while comparisons between different HR dimensions are rather scarce. Finally, this paper contributes to the prior literature on strategic HR and comparative institutional perspective on HR strategies and practices as proposed by Batt and Banerjee (2012) and Batt and Hermans (2012) that future research should go beyond the meso-level (organizational) context. In this regard, some of the factors that foster or hinder the implementation of age-specific and age-inclusive HR practices tend to be influenced by the national institutional and cultural contexts of the developing country of Thailand.

The United Nations' sustainable development goals (SDGs) put together a global framework in an attempt to address environmental, social and governance (ESG) concerns. Measuring a company’s contribution to the SDGs relies heavily on ESG reporting. This paper aims to examine the impact of ESG reporting on the corporate profitability of listed companies in Thailand over the period of 2019–2021.

Using 147 listed firms in the ESG group, content analysis was used to quantify the ESG reporting (within 11 themes), while corporate profitability was measured by return on asset and return on equity. Descriptive analysis, correlation matrix and panel regression are used to analyze the data of this study.

Consistent with the legitimacy, stakeholder and signaling theories, the authors found a statistically significant and positive impact of ESG reporting on corporate profitability in Thailand.

The findings highlight the importance of incorporating ESG considerations into companies’ reporting and decision-making processes, as these can enhance firm profitability and performance, attract stakeholders, improve their competitive advantage and step toward sustainability.

This study aims to investigate the association between Corporate Social Responsibility (CSR) and tax avoidance, as well as the effect of earnings performance on this link. We suggest a negative association between CSR and tax avoidance based on the Stakeholder Theory. We also suggest that earnings performance moderates this relationship. Based on a sample of 25 Tunisian firms during the years 2012–2017, data were gathered via annual reports of the companies, and a survey-questionnaire was used to gather CSR information. The research design uses ordinary least squares (OLS) regression to investigate the association between CSR and tax. In addition, the analysis is performed using panel data to account for heterogeneity at the individual level and over time. Using this research design, the study provides a comprehensive examination of the effect of CSR on tax avoidance among Tunisian companies over a 6-year period. According to our findings, companies that participate in CSR initiatives show less tax avoidance than those that do not. Moreover, in line with the Slack Resource Theory, for businesses with higher earnings, the negative link between CSR and tax avoidance is stronger. Our research demonstrates that businesses may utilize CSR to improve their standing in the community and lower the likelihood of tax avoidance. These results suggest that profitable firms may have more funds available to spend on CSR initiatives and, as a result, are more motivated to maintain a positive reputation by refraining from tax avoidance strategies.

The practice of real earnings management (REM) or earnings manipulation through the company’s real activities is increasingly widespread. Companies that want to achieve profit targets have switched from accrual-based to REM, especially in the firm family owner, who is an active manager. Our study aims to determine whether family ownership in a company will be a factor in the existence of greater REM practices. The authors collected 2,613 observational data from non-financial companies on the Indonesia Stock Exchange (IDX) during 2013–2018 using a purposive sampling method and then analyzed using panel random effect (RE) regression. The results show that family ownership significantly negatively affects abnormal operating cash flow which means that family firms are more likely to reduce operating cash flow to report higher income than non-family firms. Thus, it can be concluded that family firms in Indonesia are more likely to be involved in REM than non-family firms.

This study examines how the strong emphasis placed on the purposes of budgeting, referring to a comprehensive focus on budgeting, is related to top managers' education and tenure while controlling for their functional positions in their respective firms and ages, as well as several company-specific predictors (information quality, firm size, information technology, importance of profit and strategy).

Survey data were collected from senior managers of large manufacturing firms in Finland and Sweden.

The results suggest that academic business education is positively associated with a comprehensive focus on budgeting, but tenure as well as functional position in the company (Chief Financial Officer (CFO) or not) and age are not. Overall, the company-specific control variables in general and information quality in particular are shown to have greater explanatory power than the top management characteristics analyzed.

This study identifies several empirically supported factors that seem to contribute to a comprehensive focus on budgeting. The effects of information quality, business education, the importance of profit and firm size could be considered in future research.

Academic business education matters more than the other top management characteristics analyzed. If organizations want to make comprehensive use of budgets, they should employ business graduates and be mindful of company-specific variables.

This study is the first to address a comprehensive focus on budgeting and some of its determinants. Future research could investigate a broader set of such determinants in different contexts.

This study aims to investigate the factors influencing the adoption of data analytics in performance management. By examining the role of organizational and environmental contexts, this study contributes to the existing literature by proposing a novel and detailed technology-organization-environment (TOE) model for the complex interplay between firm characteristics and the adoption of data analytics. The results offer valuable insights and practical implications for organizations seeking to leverage data analytics for effective performance management.

The research draws upon a data set encompassing over 21,869 companies operating across all European Union member states. A multilevel logistic regression model was developed to evaluate the influence of organizational and environmental factors on the likelihood of adopting performance analytics in organizations.

The findings indicate that the lack of awareness of the benefits of data analytics and its practical application to address specific business challenges is a significant barrier to its adoption. Organizational contexts, such as variable-pay systems, employee training, hierarchical structures and frequency of monetary rewards, also influence the adoption of data analytics.

The study informs managers about the strategic role of data analytics capabilities in performance management for improved business intelligence and driving data culture.

The study helps managers understand the strategic role of data analytics capabilities in performance management, leading to improved business intelligence and fostering a data-driven culture in five key areas: structural alignment, strategic decision-making, resource allocation, performance improvement and change management.

The study advances the TOE theory, making it a more detailed and complete framework, particularly applicable to the adoption of performance analytics. It identifies the main factors of adoption that play a crucial role in this process.