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This study aims to explore entropy evaluation in the bi-directional flow of Casson hybrid nanofluids within a stagnated domain, a topic of significant importance for optimizing thermal systems. The aim is to investigate the behavior of unsteady, magnetized and laminar flow using a parametric model based on the thermo-physical properties of alumina and copper nanoparticles.

The research uses boundary layer approximations and the Keller-box method to solve the derived ordinary differential equations, ensuring numerical accuracy through convergence and stability analysis. A comparison benchmark has been used to authenticate the accuracy of the numerical outcomes.

Results indicate that increasing the Casson fluid parameter (ranging from 0.1 to 1.0) reduces velocity, the Bejan number decreases with higher bidirectional flow parameter (ranging from 0.1 to 0.9) and the Nusselt number increases with higher nanoparticle concentrations (ranging from 1% to 4%).

This study has limitations, including the assumption of laminar flow and the neglect of possible turbulent effects, which could be significant in practical applications.

The findings offer insights for optimizing thermal management systems, particularly in industries where precise control of heat transfer is crucial. The Keller-box simulation method proves to be effective in accurately predicting the behavior of such complex systems, and the entropy evaluation aids in assessing thermodynamic irreversibilities, which can enhance the efficiency of engineering designs.

These findings provide valuable insights into the thermal management of hybrid nanofluid systems, marking a novel contribution to the field.

This study aims to investigate the impact of gender diversity in top management teams and boards on environmental, social and governance (ESG) performance. The authors propose a corporate social responsibility (CSR) committee as a moderating variable in this relationship, drawing on resource dependence and legitimacy theories. This study is crucial in understanding the dynamics of gender diversity and its impact on ESG performance in the banking sector.

The study examines a sample of Islamic and conventional banks from 10 Middle Eastern and North African countries during 2008–2022. Initial analysis was conducted using fixed effects panel regression, whereas the robustness test used the generalized method of movement dynamic system.

The findings, which are significant for both conventional and Islamic banks, indicate that female directors are crucial in promoting ESG performance in conventional banks. In contrast, female executives do not appear to contribute significantly. However, for Islamic banks, neither board nor executive gender diversity significantly affects ESG performance. Moreover, the find that the positive moderating role of the CSR committee is significant only for the nexus between board gender diversity and conventional banks’ ESG performance and for the connection between executive gender diversity and Islamic banks’ ESG performance.

Despite the widespread belief that gender diversity in top management teams is pivotal in promoting ESG performance, empirical studies supporting these claims are scarce, particularly in the banking sector. The study, therefore, brings a novel perspective to this discourse. These findings have the potential to significantly assist stakeholders in evaluating how gender diversity in top management teams influences banks’ sustainability practices, thereby empowering them to make more informed and impactful investment decisions.

In today’s world, the demand for energy to power industrial and domestic activities is increasing. To meet this need and enhance thermal transport, solar energy conservation can be tapped into via solar collector coating for thermal productivity. Hybrid nanofluids (HNFs), which combine nanoparticles with conventional heat transfer fluids, offer promising opportunities for improving the efficiency and sustainability of renewable energy systems. Thus, this paper explores fluid modeling application techniques to analyze and optimize heat transfer enhancement using HNFs. A model comprising solar energy radiation with nanoparticles of copper (Cu) and alumina oxide (Al2O3) suspended in water (H2O) over an extending material device is developed.

The model is formulated using conservation laws to build relevant equations, which are then solved using the Galerkin numerical technique simulated via Maple software. The computational results are displayed in various graphs and tables to showcase the heat transfer mechanism in the system.

The results reveal the thermal-radiation-boost heat transfer phenomenon in the system. The simulations of the theoretical fluid models can help researchers understand how HNFs facilitate heat transfer in renewable energy systems.

The originality of this study is in exploring the heat transfer properties within renewable energy systems using HNFs under the influence of nonlinear thermal radiation.

This study examines the unique effects of Industry 4.0 technologies and servitization on firm performance and explores whether servitization mediates the Industry 4.0 and firm-performance relationship.

Data were collected from 76 manufacturing firms in Pakistan using an online survey questionnaire. The partial least squares structural equation modeling (PLS-SEM) method was used to test the proposed hypotheses.

Analysis in SmartPLS revealed significant positive effects of Industry 4.0 and servitization on firm performance and showed that servitization acts as a mediator in the relationship between Industry 4.0 and firm performance.

This study offers valuable insights for manufacturing firms, particularly in the context of Pakistan, that firms can improve their performance by adopting Industry 4.0 technologies and implementing servitization strategies.

Drawing on the practice-based view of firm, this study adds value to the body of knowledge that firms can improve their performance by adopting widely known and transferrable technological and organizational practices like Industry 4.0 and servitization.

This study aims to analyze the multi-slip effects of entropy generation in steady non-linear magnetohydrodynamics thermal radiation with Williamson nanofluid flow across a porous stretched sheet near a stagnation point. Also, the qualities of viscous dissipation, Cattaneo–Christove heat flux and Arrhenius activation energy are taken into account. Thermophoresis, Brownian motion and Joule heating are also considered.

The Navier–Stokes equation, the thermal energy equation and the Solutal concentration equations are the governing mathematical equations that describe the flow and heat and mass transfer phenomena for fluid domains. By using the proper similarity transformations, a set of ordinary differential equationss are retrieved from boundary flow equations. The classical Runge–Kutta fifth-order algorithm along with the shooting technique is implemented to solve the obtained first order differential equations.

The study concludes that the temperature distribution boosting for thermal radiation, magnetic field and Eckert number where as the velocity and entropy generation escalate for the Williamson parameter, diffusion parameter and Brinkman number. The skin-friction and heat and mass transfer rate increases with the fluid injection. In addition, tabulated values of friction drag and rate of heat and mass transfer for various values of constraints are provided.

The comparison of the present results is carried out with the published results and noted a good agreement.

The primary purpose of this research is to identify and compare the multifractal behavior of different sectors during these crises and analyze their implications on market efficiency.

We used multifractal detrended fluctuation analysis (MF-DFA) to analyze stock returns from various sectors of the Moscow Stock Exchange (MOEX) in between two significant periods. The COVID-19 pandemic (January 1, 2020, to December 31, 2021) and the Russia–Ukraine conflict (RUC) (January 1, 2022, to June 30, 2023). This method witnesses multifractality in financial time series data and tests the persistency and efficiency levels of each sector to provide meaningful insights.

Results showcased persistent multifractal behavior across all sectors in between the COVID-19 pandemic and the RUC, spotting heightened arbitrage opportunities in the MOEX. The pandemic reported a greater speculative behavior, with the telecommunication and oil and gas sectors exhibiting reduced efficiency, recommending abnormal return potential. In contrast, financials and metals and mining sectors displayed increased efficiency, witnessing strong economic performance. Findings may enhance understanding of market dynamics during crises and provide strategic insights for the MOEX’s investors.

Understanding the multifractal properties and efficiency of different sectors during crisis periods is of paramount importance for investors and policymakers. The identified arbitrage opportunities and efficiency variations can aid investors in optimizing their investment strategies during such critical market conditions. Policymakers can also leverage these insights to implement measures that bolster economic stability and development during crisis periods.

This research contributes to the existing body of knowledge by providing a comprehensive analysis of multifractal properties and efficiency in the context of the MOEX during two major crises. The application of MF-DFA to sectoral stock returns during these events adds originality to the study. The findings offer valuable implications for practitioners, researchers and policymakers seeking to navigate financial markets during turbulent times and enhance overall market resilience.