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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 study is to examine the impact of firm financial and operational characteristics on the level of forward-looking information disclosure (FLID) by Egyptian-listed non-financial companies. The present research also aims to investigate the moderating role of gender diversity on the board of directors.

The sample incorporates the non-financial companies included in the EGX 100 of the Egyptian Stock Exchange (ESE), whose reports were available during the study period from 2013 to 2018. The final sample comprises 49 companies with 294 observations. Statistical analysis is performed using multiple regression analysis.

This study found a significant positive impact of return on assets, leverage, company size and age on the level FLID, while external audit firm type and industry were found to impact the level of FLID negatively. Further, the board gender diversity (BGD) is found to have a moderating impact as it strengthens the effect of financial and operational characteristics on the level of FLID.

The present study has some implications for Egyptian companies, investors in the Egyptian market and regulators in emerging economies, which include paying more attention to BGD when selecting the board members by companies as well as following up the female representation in all the listed companies by regulators.

To the best of the authors’ knowledge, this is the first study to investigate the moderating role of BGD and its impact on the level of FLID in emerging markets. This extends the disclosure literature as the present study brings new evidence from an emerging market regarding BGD moderating role as early research concentrated on the direct impact of BGD on the level of FLID.

Japan applies a quasi-mandatory approach to corporate environmental reporting by defining the desired norm through formal law and guidelines and pushing large companies to be role models regardless of their sensitivity to environmental impacts. This study aims to analyze the change in Japanese companies reporting quality to justify this approach’s capability to produce normativity of environmental reporting.

This study examines the change in corporate environmental reporting quality and the effect of company characteristics on it. The analysis focuses on 88 companies for 2008, 2013 and 2018, resulting in 264 company-year observations.

The result shows a continuous upward trend, although it is unsatisfactory regarding the comparability and free from error characteristics. Then, company size positively affects the quality, and sensitivity to environmental impacts does not. Overall, the findings indicate that Japan is moving toward normativity through the quasi-mandatory approach and the norm entrepreneurship of its large companies, regardless of their sensitivity to environmental impacts.

This study could relieve the belief that it is necessary to apply a mandatory approach to improve reporting quality and enrich views on the effect of company characteristics which mainly used only the legitimacy perspective.

This study proposes a more comprehensive measure of environmental reporting quality. The measure is based on the qualitative characteristics of useful information from the most influential accounting standard-setting bodies. In addition, the effect of company characteristics on the quality is explained based on the norm entrepreneurship view instead of the legitimacy perspective.

This study aims to provide archival evidence on the impact of board characteristics on corporate social responsibility (CSR) monetary performance and how they interact with the COVID-19 pandemic in the context of CSR monetary performance.

This study analyzes listed companies in Oman’s capital market from 2016 to 2021, using pooled ordinary least squares and unique CSR performance measures such as budgeting and spending.

The study finds that companies with more expertise and frequent meetings are more likely to allocate a larger budget for CSR activities. However, this does not apply to larger boards or to independent directors. During the COVID-19 pandemic, the effect of independent directors on CSR budgeting and spending is more pronounced, and boards with more expertise and meetings show a negative interaction with the pandemic. The interaction of board characteristics with COVID-19 in terms of CSR monetary performance varies depending on company size. Board independence and expertise show a significant reaction to COVID-19 infection and death cases when setting CSR budgeting and spending.

The findings of this study are stimulating, but stem from an emerging country with unique cultural and institutional characteristics. Methodological issues were also encountered during the analysis, so readers should exercise caution when applying the results to other settings.

This study highlights board involvement in deciding a company’s CSR investment, as it was believed that chief executive officers are considered responsible for CSR activities. Additionally, this research underscores the significance of incorporating the financial aspects of CSR into reporting.

This study examines the seldom explored relationship between corporate boards and CSR monetary aspects during regular and irregular times, offering theoretical and practical insights that benefit multiple stakeholders.

The sharing economy (SE) is significantly affecting traditional companies, which have felt a need to adapt their business model. The aim of this study is to identify the different types of adaptation developed by companies within a SE context, and to examine how they relate to their characteristics.

A content analysis involving 149 real-world adaptation cases was carried out, after which a Kruskal–Wallis test and a multiple correspondence analysis were used to explore the relationships between the types of adaptation identified, the business characteristics and the strategic decisions taken for these adaptations.

Through the analyses proposed in the study, the main conclusions suggest that the way companies adapt to SE is related to business characteristics and the strategic decisions taken for these actions, demonstrating throughout the article what types of adaptations are made depending on variables such as sector of activity or business orientation.

This study is the first to examine the variables affecting the decisions among traditional companies in response to the SE. In addition, this work explores the SE from the business point of view, shedding light on the participation in SE by traditional companies.

共享經濟現時正顯著地影響著感到需要改變它們的商業模式的傳統公司。本文旨在確定在共享經濟的背景裡, 公司為適應有關的環境而進行的各種改變; 研究亦擬探討這些改變與公司特徵之間的關係。

研究人員對149個真實世界的改變個案進行內容分析, 繼而進行克拉斯卡 - 瓦立斯檢定 (Kruskal-Wallis test) 和多重應對分析 (Multiple Correspondence Analysis) , 以探究被確定的改變的種類、企業的特徵與採用這些改變的策略性決策之間的關係。

研究人員、透過本研究建議的分析取得結論; 主要的結論似顯示、企業為應對共享經濟所作的改變、與它們的企業特徵和採用哪些行動的策略性決策是有關聯的。整篇論文, 顯示了企業所採用的改變種類、均取決於像活動領域和企業經營理念等的變數。

本研究為首個研究、去探討影響傳統公司回應共享經濟所作的決策的變數。再者, 本研究探究了以商業理念的觀點來考慮的共享經濟, 這使我們更容易理解傳統公司參與共享經濟的課題。

This study aims to examine trends in audit committee characteristics of companies and associates characteristics subject to major change with a fee-based proxy for audit committee effectiveness.

The research adopts an empirical approach. Using descriptive and inferential statistics, observations for 253 Financial Times Stock Exchange 350 companies’ audit committee characteristics gathered from annual reports at the beginning and end of a five-year period are evaluated against averaged non-audit fees (NAF) as a proportion of total audit fees.

Audit committee composition shows an increased incidence of female membership and of members with previous audit experience. The increase in members with previous audit experience is more marked where this is gained with the incumbent auditor. An increase is also shown in chief financial officers with previous audit experience. Previous audit experience is associated with reduced NAF as a proportion of total fees. This is marked where audit experience has been gained with the incumbent auditor. These results suggest that the benefits of financial expertise gained from audit experience outweigh impairments to independence due to social ties. Nevertheless, other studies indicate concerns about independence are still well-founded.

This paper’s original contribution is to evaluate the potential effect of previous audit experience on those involved in audit committees in light of concerns raised in the literature and by regulators that external auditor independence should be maintained. The innovative fee-based proxy for audit committee effectiveness facilitates an evaluation as to which influence prevails.

The purpose of this study was to investigate how chief executive officer (CEO) characteristics, including age, education, nationality and particularly gender, influence firm performance in a developing Southeast Asian Country (Indonesia).

The study uses balanced firm-level panel data for 203 nonfinancial companies listed on the Indonesia Stock Exchange from 2010 to 2020. Return on assets, return on equity and Tobin’s Q were used to measure firm performance. The data were analyzed using panel data regression analysis, including a fixed effects model with clustered standard errors.

The results indicate that female CEOs, education and nationality enhance firm performance, while CEO age can either improve or reduce firm performance. Numerous robustness checks were performed; the results were consistent with those in the main analysis.

Individual characteristics should be considered when appointing CEOs. Some CEO characteristics enhance firm performance. Female CEOs bring new perspectives, while older CEOs’ longer experience adds a competitive advantage. More educated CEOs have a better ability to deal with challenging intellectual activities, and CEOs from foreign countries better understand international market regulations. However, some characteristics may reduce firm performance, for example, older CEOs are more conservative and unable to adapt to changing business environments.

This study contributes to corporate governance studies by synthesizing CEO characteristics and investigating their relationship with firm performance. Moreover, it emphasizes that developing countries such as Indonesia have different economic, legal, social and cultural environments than developed countries, especially Western countries.

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.

The matter of interest is the reporting and disclosure of intellectual capital (IC) in the global “knowledge economy” era. The aim of the paper is twofold: to verify the level of disclosure of IC through the non-financial statements (NFSs) published by public companies and to identify the main firm-specific factors that explain the propensity to disclose.

Based on the 27 components of IC, a scoring system is designed to measure the level of disclosure of IC by 47 listed Italian companies. Content analysis (CA) is performed on the NFSs these companies published in 2020, to measure each company's so-called intellectual capital disclosure index (ICDI). A regression analysis is then applied to relate the ICDI scores to some firm-specific variables to determine their relevance and influence on the level of disclosure.

Although the NFS was not designed specifically for IC, the results of the analyses show an overall barely satisfactory ability of the NFS to give certain information on IC. Furthermore, the propensity to disclose IC appears significantly related to some firm characteristics considered here, such as capitalization, profitability, productivity, intangibility and financial structure.

The analysis relates to a representative but limited sample that does not allow for sectoral or time-series analyses. Extending the companies and years under observation would allow the results to be validated with broader and more in-depth analysis.

This paper provides exploratory but interesting evidence about the relationships between IC disclosure (ICD), firm characteristics and market capitalization. Despite several previous studies on the disclosure of IC, no analyses were found that focused on the information capacity of the NFS. Also, to the authors' knowledge, relatively few researchers have considered a set of financial ratios that include capital structure indices.

In recent years, mandatory rules and regulations were issued to stress the importance of increasing gender diversity in companies, assuming that gender diversity would enhance financial performance. Thus, the purpose of this paper is to review recent research concerning board gender diversity and its impact on financial performance for the period of 2002 to 2022.

Using the Web of Science and Scopus databases, 152 studies were analyzed, out of 91 high-impact journals. The analysis focuses on discussing the moderating, mediating and controlling variables and exploring the theories and theoretical foundations that are most prevalent in the literature.

The findings indicated an incompatibility between the results of the studies on the impact of gender diversity on financial performance. In addition, results showed the majority of studies focused on discussing the controlling variables associated with the company compared to the variables related to employees or the surrounding environment. On the other hand, the results also showed widespread use of the theoretical basis with the development of new theories in the recent period in parallel with the increase in the literature.

The results of this study help to reconcile the findings of the different and conflicting literature by presenting the perception that the efficacy of the positive impact of gender diversity on financial performance is related to several organizational and environmental factors that companies have to consider.