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This paper examines the relationship between women on boards and board monitoring tasks depending on group categories identified in the Kanter's theory.

Using a sample of the largest listed companies in Spain, Italy and France during the period 2007–2017, this study tests the effect of women's presence based on the following board categories: (1) skewed boards with a percentage of women that is less than 20%; (2) tilted boards with a percentage of women that ranges from 20% to 33%; (3) tilted boards with a percentage of women that is more than 33%; and (4) balanced boards with an equal or quasi-equal gender distribution. The authors use the case of the gender board quota regulation in different European Union countries.

The results suggest that tilted boards engage in stronger firm monitoring and that the effect of women on board monitoring tasks is positive and statistically significant when the percentage of female directors reaches the threshold of 33%.

The outcomes of this study help policymakers identify the minimum threshold that quota regulations should mandate in order for boards to be effective.

This paper moves forward the ongoing debate about the effect of women on corporate boards, shifting the focus from the ratio or presence of female directors to the size of the group they form within the board. To the best of authors’ knowledge, this is the first study to test Kanter's theory by investigating the relationship between women on boards and board monitoring.

This paper aims to provide a maturity model for information security awareness (MMISA), based on the literature, expert interviews and feedback. In addition to developing the MMISA, the authors investigate the role of the three decisive factors that affect ISA maturity level: risk management mechanism, organizational structure and ISA.

The research methodology is a combined one; qualitative and quantitative methods were applied, including surveying the literature, interviews and developing a survey to collect quantitative data about decisive factors that affect ISA maturity level. The authors perform a variance-based partial least squares-structural equation modeling (PLS-SEM) investigation of the relationships between these factors.

The investigation of decisive factors of ISA maturity levels revealed that if the authors identify a strong risk assessment mechanism (through a documented methodology and reliable results), the authors can expect a high level of ISA. If there is a well-defined organizational structure with clear responsibilities, this supports the linking of a risk management mechanism with the level of ISA. The connection between organizational structure and ISA maturity level is supported by ISA activities: an increased level of awareness actions strengthens an organizational structure via the best practices learned by the staff.

The main contribution of the proposed MMISA model is that the model offers controls and audit evidence for maturity levels. Beyond that, the authors distinguish in the MMISA model controls supporting knowledge and controls supporting attitude, emphasizing that this is not enough to know what to do, but the proper attitude is required too. The authors didn't find any other ISA maturity model which has a similar feature. The contribution of the authors' work is that the authors provide a method for solving this complex measurement problem via the MMISA, which also offers direct guidance for the daily practices of organizations.