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This paper aims to investigate the impact of board gender diversity (BGD) on firm financial stability during the COVID-19 pandemic compared to the pre-pandemic period.

Difference-in-differences method was used for a sample of 891 US companies observed from 2018 to 2021.

The results indicate significant negative relationships between BGD and financial stability. The authors put in evidence a nonlinear relationship between BGD and financial stability. Also, the authors found that internal women directors as well as external ones decrease financial stability.

The results emphasize the beneficial effect of having more women on corporate boards during health crises and suggest that policymakers should take measures to promote BGD.

This paper highlights the impact of BGD on financial stability and provides additional evidence on the usefulness of BGD as an effective tool for crisis management.

This study aims to investigate experimentally and numerically the thermal analysis of a wavy diverging-converging corrugated enclosure, partitioned into two parts under the effect of magnetohydrodynamic (MHD) natural convection. The left part was filled with Al₂O₃/C₂H₆O₂ nanofluid, while the right part was Al₂O₃/C₂H₆O₂ saturated by a porous medium, featuring a corrugated cylinder at the center. This system is relevant to many engineering applications. Key factors affecting thermal performance, such as nanofluid volume fraction, Darcy number, Hartmann number, inclination angle of MHD and Rayleigh number, were analyzed. This study evaluated the impact of these parameters on stream function, average Nusselt number and isothermal lines under three heat source scenarios: heating the corrugated cylinder, heating the magnetic source and heating the nanofluid, porous media and corrugated walls.

The main governing equations for the nanofluid flow are mass, momentum and heat transfer, while the porous media are modeled using the Darcy–Brinkmann model. These governing equations are transformed into a dimensionless form and solved numerically using COMSOL 6.0 based on the finite-element method. Dynamic viscosity, density and thermal conductivity equations are used to calculate the properties of the nanofluid at different volume concentrations.

The results showed that increasing the Rayleigh number (Ra) and Darcy number (Da) increased the Nusselt number by 55%, indicating enhanced heat transfer. A vertical magnetic source (γ = 90°) further improved thermal performance. Conversely, thermal performance decreased with increasing Hartmann number (Ha). The highest Nusselt number was observed when the heat source was applied to the corrugated cylinder, followed by the right side with nanofluid–porous contact and was lowest for the left side with nanofluid contact. Experimental data demonstrated that the presence of a magnetic field can significantly increase the temperature, thereby enhancing heat transfer by natural convection, particularly when the heat source is applied in the region of nanofluid–porous contact.

The primary originality of this work lies in the use of a novel design featuring a diverging-converging structure with a wavy wall. In addition, it uses two types of fluids simultaneously, dividing the enclosure into two sections: the right side contains nanofluid mixed with a porous medium, while the left side is filled with nanofluid only. The system also includes a corrugated cylinder at its center with four undulations. The position of the heat source significantly influences heat dissipation. Therefore, three different positions were examined: heating the cylinder at a constant temperature, heating the left side of the enclosure and heating the right side.

Knowledge sharing is pivotal for the professional development among academics in higher education. However, little research has focused on understanding both the positive and negative facets of organizational climate in relation to knowledge sharing among academics. Based on the theory of planned behavior, this study aims to examine the impact of four facets of organizational climate, i.e. affiliation, trust, competition and individualism, on academics’ subjective norms and intentions regarding knowledge sharing.

Survey data were collected from 532 university faculty staff in China and analyzed using partial least squares structural equation modeling.

Results indicated that affiliation and trust had positive effects on subjective norms regarding knowledge sharing, whereas competition and individualism had negative effects on subjective norms. Furthermore, subjective norms were found to significantly enhance academics’ intentions to share knowledge.

Practical implications are provided on how to cultivate a supportive organizational climate to foster knowledge sharing among faculty staff for enhanced professional capital and competitiveness.

The study contributes to the literature by integrating both the positive and negative facets of organizational climate and highlighting the hindering effects of competition and individualism on knowledge sharing, which have not been fully investigated in the existing literature.