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The purpose of this paper was to study the direct impact of audit quality on environmental, social and governance (ESG) transparency. It aimed also to investigate the moderating effect of media coverage on the relationship between audit quality and ESG transparency in the USA.

The sample consisted of US companies listed in the Standard and Poor’s 500 Stock Index between 2010 and 2019. The Thomson Reuters database was used to collect ESG disclosure scores and governance information. The authors applied multiple panel data regressions.

The results showed that audit quality has a direct positive effect on ESG transparency. The findings also showed that the high exposure to public media by firms, the more they commit to high audit quality leading to disclose more transparent ESG information.

The results illustrated the significance of an external audit on an organization’s ESG report. Second, improving data quality has significant consequences not only for rating agencies but also for investors, businesses and researchers. These steps are required to increase the information content of ESG ratings.

The findings demonstrated that third-party external verification improves the dependability of nonfinancial reporting, hence bridging the confidence gap between corporations and the market regarding sustainability reporting.

This paper aims to explore the relationship between corporate corruption risk and environmental, social and governance (ESG) reporting and if this relationship is moderated by business ethics.

Data from a sample of 347 European firms selected from the ESG Index between 2010 and 2020 were used to test the model using panel data and multiple regressions. This paper considered the feasible generalized least squares estimation for linear panel data models. A multiple regression model is used to analyze the moderating effect of business ethics on the association between corporate corruption risk and ESG reporting. For robustness analyses, the authors included the alternative measure of the dependent variable, and they applied the simultaneous equation model for the endogeneity test.

The empirical results reveal a negative relationship between corporate corruption risk and ESG reporting. Furthermore, the findings suggest that business ethics positively moderate the relationship between corporate corruption risk and ESG reporting.

This paper presents an enormous contribution to the various economic agents involved in the company. The results could attract the attention of socially responsible investors and, above all, corporate citizens. Moreover, the managers of corrupt companies could take into account the results of this study by being more committed to an optimized transparency strategy on ESG reporting.

To the best of the authors’ knowledge, this is the first study to investigate the moderating role of business ethics on the relationship between corporate corruption risk and ESG reporting in the European context. It is also the first study documenting that business ethics reinforce the relationship between firm corruption and nonfinancial information transparency. This study fills a research gap as it expands the existing literature, which generally focuses on the impact of corporate corruption on ESG reporting.

This study aims to espouse the concept of sustainable environment, social and governance (ESG) practices as the proxies of sustainability reporting (SR). In the presence of smart technology adoption (STA), ESG drives total quality management (TQM) of sustainability matters in advanced medical device (AMD) companies post-pandemic.

This study uses two stages of rigorous data collection. Two focus groups comprising board members, investment advisers and senior managers of AMD were formed to establish the external validity of the constructs proposition. It then used a Web survey to solicit 240 respondents from AMD. Data were analysed using the partial least squares structural equation modelling (PLS-SEM) to provide robustness of predictive power in the model estimation.

Results show SR has positively impacted TQM. It reveals positive relationships between SR and ESG and ESG and TQM. Findings indicate that STA moderates the relationships between ESG and TQM with large effect sizes.

This study offers direction to expedite strategies and action plans by sustainability practitioners in an asymptotic quest for ESG and TQM best practices. Future research should focus on the protection of sustainable social using qualitative methodology.

Using the lens of corporate sustainability, this study develops a framework that integrates ESG, TQM and STA to examine the synergistic effects post pandemic. It provides evidence that ESG practices and STA adoption drive TQM in transition to attain sustainability among the AMD at the country level.

This study aims to examine the relationship between environmental, social and governance (ESG) disclosure, firm risk and stock market returns within the Chinese energy sector. Using a variety of econometric techniques, the study seeks to uncover the impact of ESG disclosure on risk mitigation and its influence on stock market performance.

Benchmark regression models were used to explore the associations between ESG disclosure, firm risk and stock returns. To address potential endogeneity, a generalised method of moments estimator is used. Quantile regression was used for robustness analysis.

The study reveals a negative relationship between ESG disclosure and firm risk, indicating that companies with greater ESG disclosure tend to experience reduced risk exposure. In addition, a positive association is observed between ESG disclosure and stock market returns, suggesting that companies with more comprehensive ESG disclosure practices tend to perform better in the stock market.

This study implies that investors appreciate sustainable investment and incorporate ESG practices and disclosure in decision-making. Policymakers can promote transparent ESG reporting through regulatory frameworks, fostering sustainable practices in the energy sector.

Despite the mounting concerns over carbon dioxide emissions and the energy industry’s environmental footprint, this study pioneers a comprehensive analysis of ESG disclosure within this critical sector. Delving into the relationship of ESG practices, firm risk and market returns, this research uniquely examines both risk mitigation and return enhancement, shedding new light on sustainable strategies in the energy domain.

An emerging body of literature has pinpointed the role of supply chain structure in influencing the extent to which supply chain members disclose information about their internal practices and performance. Nevertheless, empirical research investigating the effects of firm-level relational embeddedness on network-level transparency still lags. Drawing on social network analysis, this research examines the effect of relational embeddedness on supply chain transparency and the contingent role of digitalization in the context of environmental, social and governance (ESG) information disclosure.

In their empirical analysis, the authors collected secondary data from the Bloomberg database about 2,229 firms and 14,007 ties organized in 107 extended supply chains. The authors employed supplier and customer concentration metrics to measure relational embeddedness and performed multiple econometric models to test the hypothesis.

The authors found a positive effect of supplier concentration on supply chain transparency, but the effect of customer concentration was not significant. Additionally, the digitalization of focal firms reinforced the impact of supplier concentration on supply chain transparency.

The study findings contribute by underscoring the critical effect of relational embeddedness on supply chain transparency, extending prior literature on social network analysis, providing compelling evidence for the intersection of digitalization and supply chain management, and drawing important implications for practices.

In the global context, artificial intelligence (AI) technology and environmental, social and governance (ESG) have emerged as central drivers facilitating corporate transformation and the business model revolution. This paper aims to investigate whether and how the application of AI enhances the ESG performance of enterprises.

This study uses panel data from Chinese A-share listed companies spanning the period from 2012 to 2022. Through a multivariate regression analysis, it examines the impact of AI on the ESG performance of enterprises.

The findings suggest that the application of AI in enterprises has a positive impact on ESG performance. Internal control systems within the organization and external information environments act as mediators in the relationship between AI and corporate ESG performance. Furthermore, corporate compliance plays a moderating role in the connection between AI and corporate ESG performance.

This paper underscores the pivotal role played by AI in enhancing corporate ESG performance. It explores the pathways to improving corporate ESG behavior from the perspectives of internal control and information environments. This discussion holds significant implications for advancing the application of AI in enterprises and enhancing their sustainable governance capabilities.

This paper explores how the disclosure quality, measured by the abnormal tone of environmental and social report, may determine the environmental, social and corporate governance (ESG) performance of the firm. This study also investigates the impact of the moderator “board of directors” to explore the extent to which a well-balanced board of directors may affect this association within an impression management strategy.

This work uses a sample of 616 firm-year observations using a sample of French firms indexed on SBF120 index from 2010 to 2017. To test the developed hypotheses, the GLS regression is applied and to control for endogeneity issue and sample selection bias, the authors used, respectively, the two stage least square (2SLS) procedure and the Heckman model.

Findings suggest that a well-balanced board of directors moderates the relationship between the ESG performance and the disclosure quality. The positive effect of abnormal tone management on ESG is weakened by the presence of a good structure of the board, attenuating impression management initiatives.

The research provides evidence of the impact of corporate social responsibility (CSR) reporting quality, in particular disclosure tone management, on the level of ESG performance in the French context. As the board of directors may have a major impact on weakening impression management strategies in particular tone management practices, in order to improve CSR report quality, the authors recommend French companies to ensure a well-balanced board of directors.

This study helps investors to comprehensively evaluate the information disclosed on CSR reports. It unveils that a strong board composition induces better quality of CSR report and brings better ESG performance. Thus, the study results point to the importance of a well-balanced board of directors and the regulation of the narrative disclosure of CSR information.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

The purpose of this study is to examine the impact of country-level governance on sustainability performance, taking into account the effect of sustainable development goals (SDGs) and board characteristics.

This study uses panel data analysis using fixed effect models to investigate the influence of country-level governance on sustainability performance while considering the effect of SDGs and board characteristics. The sample comprises 8,273 firms across 41 countries during the period spanning from 2016 to 2021. The sample is divided into two categories based on the score of SDGs.

The findings of this study show that countries with high SDGs score have better overall country-level governance and board attributes which have a statistically significant positive impact on sustainability performance. However, for those countries with low SDGs, political stability shows a statistically insignificant and negative impact on sustainability performance, while government effectiveness indicates a statistically insignificant positive impact on sustainability performance.

This study contributes to the literature by providing empirical evidence on the relationship between country-level governance, SDGs, board characteristics and sustainability performance. The study also highlights the importance of considering the effect of SDGs on the relationship between country-level governance and sustainability performance. The findings of this study could be useful for policymakers and firms in improving their sustainability performance and contributing to sustainable development.

Environmental, social and governance (ESG) scores are becoming increasingly relevant in academic literature and the corporate world. This is partly because the themes covered by ESG scores are intended to resolve multiple major social and environmental issues. However, there is little consensus among academics about the definition of ESG scores and their measures. Many scholars have used ESG scores to represent various issues. The purpose of this study is to gather all definitions that were used by scholar when using ESG scores in their research.

This systematic literature review aims to identify how ESG scores are presented in the academic literature. A total of 4,145 articles were identified, of which 342 articles from influential peer-reviewed journals were retained.

In the articles, five different thematic definitions emerged in terms of how scholars have used ESG scores in their research: sustainability, corporate social responsibility, disclosure, finance and the analysis of ESG scores. Although some definitions are consistent with the methodologies of the agencies that produce ESG scores, others raise further questions. Caution is required when using ESG scores as a metric. They represent financial adjusted risk-return for some and are used to express business sustainability for others.

Only top-ranked journals were analyzed. In addition, only the key terms “ESG Score” and “ESG Scores” were used to gather all research papers.

Researchers could improve the accuracy of their results by developing specific methodologies that are closely related to the issues intended to be measured. The underlying variables composing the ESG scores could be used instead of the final score for more accurate environmental or social issues measurements.

This research shows that scholars use ESG scores to represent multiple issues that are not always captured by ESG scores’ official methodologies. ESG scores can express the overall performance of environmental and social issues, but they cannot be used to track specific underlying issues.