This study focuses on a traditional business ethics question and aims to use advanced techniques to improve the performance of corporate fraud prediction. Based on the GONE framework, we adopt the machine learning model to predict the occurrence of corporate fraud in China. We first identify a comprehensive set of fraud-related variables and organize them into each category (i.e., Greed, Opportunity, Need, and Exposure) of the GONE framework. Among the six machine learning models tested, the Random Forest (RF) model outperforms (...) the other five models in corporate fraud prediction. Based on the RF model, we show that Exposure variables play a more important role in predicting corporate fraud than other input variables. These results highlight the importance of Exposure variables in corporate fraud prediction and promote the practical use of the machine learning model in solving business ethics questions. (shrink)

As global warming has received widespread attention, the disclosure of firms’ carbon information has been expected by increasing stakeholders. This study extends the previous literature on the determinants of firms’ carbon information disclosure by examining the influence of academic independent directors and Confucianism on the quality of carbon information disclosure. Using a sample of Chinese listed firms in the CSI 300 Index during the period of 2012–2018, our empirical results show that academic independent directors have a significantly positive association with (...) the quality of carbon information disclosure. The results also reveal that Confucianism positively affects the quality of carbon information disclosure. Moreover, Confucianism positively moderates the relationship between academic independent directors and the quality of carbon information disclosure. The results imply that Confucianism, as an informal system, can promote the governance effect of academic independent directors on firms’ carbon information disclosure behaviour. Our findings offer shareholders, regulators, and other stakeholders an integrating perspective on motivating firms to disclose high quality carbon information. (shrink)

In the years 2009 to 2016, approximately 35% of Standard & Poor’s (S&P) 500 firms had at least one director with a professional background in private, not-for-profit organizations (NGO director). Yet research provides little guidance on what kind of firms are more likely to have NGO directors on their boards, neither do we know these directors’ effects on firm strategic outcomes. Our study examines the above two questions in the context of corporate social responsibility (CSR), taking the lens of resource (...) dependence theory. Results from an analysis of all firms included in the S&P 500 index between 2010 and 2016 show that the number of NGO directors serving on a firm’s board in a certain year is positively related to the extent to which the firm displays poor CSR performance in the prior year. We also find that NGO directors on boards are not associated with immediate improvements in CSR performance; rather, their positive influence on CSR performance takes hold after 3 years. Our findings suggest that whereas NGO directors may potentially be appointed to a firm’s board for legitimization reasons, these directors are associated with enhanced CSR performance in the long term. (shrink)