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The purpose of this paper is to propose a framework for the analysis of students’ ratings of teaching quality in higher education and the disclosure of risky issues undermining the quality of teaching and courses that require attention for continuous improvement. The framework integrates two decision-based methods: the standardized u-control chart and the ABC analysis using fuzzy weights. The control chart, using the students’ ratings, allows the identification of those courses requiring an improvement of teaching quality in the short-medium term. While the ABC analysis uses fuzzy weights to deal with the vagueness and uncertainty of students’ teaching evaluations and provides a risk map of the potential areas of teaching performances improvement in the long term. The proposed framework allows the identification of teaching and course quality aspects that need corrective actions in response to students’ criticisms in accordance with different levels of priority.

This study adopts two methods, commonly used in industrial applications, i.e. the u-control chart and ABC analysis. Combining the results of a literature review on teaching evaluation and the application of these two methods as building blocks for the assessment, a framework to detect potential risks reducing teaching quality in higher education is proposed. The application of the framework is shown through an action-based case study developed in an Italian public university.

The study proposes a framework that combines two methods, i.e. u-control chart and ABC analysis with fuzzy weights, to support the assessment of teaching and course quality. The framework is proposed as an assessment approach of the teaching performance in higher education with the purpose to continuously improve the quality of teaching and courses both in the short, medium and long term.

The study provides an original contribution to the understanding of how to analyze students’ evaluation of teaching performance in order to take proper and timely decisions on corrective actions in response to the need of continuously improving the level of teaching and course quality.

The current study aims to investigate the relation between corporate social responsibility (CSR) and information asymmetry, as well as the moderating effect of board characteristics (gender diversity, size and independence) on this relationship.

This paper uses a panel data regression analysis with the system generalized method of moments (SGMM) estimator of nonfinancial French firms included in the SBF 120 index. The environmental and social disclosure scores are collected from the Bloomberg database, while financial data are collected from the FactSet database.

The empirical results demonstrate that environmental disclosure has a positive impact on the level of information asymmetry, while social disclosure has no effect on the information environment. Gender diversity and board independence negatively impact the opacity index, while board size has a positive effect. The presence of women in board composition has a substitution effect on the relationship between environmental disclosure and information asymmetry. There is no moderating effect of board size on the association between CSR disclosure and information asymmetry. However, the proportion of independent female directors and board independence operates as substitutes to social disclosure on reducing information asymmetry.

Although the models include the most common control variables used in the literature, they omit some variables. Second, the results should be interpreted with caution and should not be generalized to the entire stock market since the sample is based on large French companies.

The results of this study may be of interest to managers, investors and French market authorities since France is characterized by highly developed laws and reforms in the area of CSR. In addition, the paper leads to a better understanding of how women on the board, in particular, independent female directors, affect the relationship between CSR disclosure and information asymmetry. This could be of interest to French authorities, which has encouraged the appointment of women through the adoption of the Copé–Zimmermann law.

First, to the best of the authors' knowledge, this is the first study to explore the moderating effect of board characteristics on the relationship between CSR and information asymmetry. Second, unlike previous studies using individual proxies to measure information asymmetry, the authors favor the opacity index of Anderson et al. (2009). They calculate this index by including a fifth individual measure, namely, share price volatility. The opacity index better describes the information environment of companies than individual measures since it reflects the perceptions of investors and analysts together.