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The purpose of this study to explore the teacher’s perception about family aggression and domestic abuse that can cause students psychotic trauma. Also, this article will further highlight the mitigating strategies for teachers to overcome those challenges which they faced while dealing with such female students.

In this exploratory study, a qualitative data collection tool semi-structured interviews were used. This research interviews were conducted from public school teachers of Pakistan. For data analysis thematic analysis approach was used to answer the targeted research questions.

The findings of the study reveal that the family aggression and domestic abuse have severe negative effect on female students’ mental health which cause them trauma and also negatively impact of their educational progress and overall growth. Also, several challenges have been identified from the findings such as difficulty in identification of such female students, lack of support and counselling skills and social constraints. Similarly, this study also suggests some interventional and mitigating strategies to overcome these challenges faced by teachers such as, awareness sessions for parents and society, teachers training for such skills, including such contents in curriculum etc.

The results of the current study are beneficial for the teacher and school administration to handle such female students they are affected due to abuse and domestic violence and improve their mental well-being and growth.

This is a unique study because there is very limited research done in the context of Pakistan which addresses this burning social issue, particularly adding the voices of teacher’s about identifying and dealing such female students they are victim of family aggression and domestic abuse.

This study aims to develop a model based on the financial variables for better accuracy of financial distress prediction on the sample of private French, Spanish and Italian firms. Thus, firms in financial difficulties could timely request for troubled debt restructuring (TDR) to continue business.

This study used a sample of 312 distressed and 312 non-distressed firms. It includes 60 French, 21 Spanish and 231 Italian firms in both distressed and non-distressed groups. The data are extracted from the ORBIS database. First, the authors develop a new model by replacing a ratio in the original Z”-Score model specifically for financial distress prediction and estimate its coefficients based on linear discriminant analysis (LDA). Second, using the modified Z”-Score model, the authors develop a firm TDR probability index for distressed and non-distressed firms based on the logistic regression model.

The new model (modified Z”-Score), specifically for financial distress prediction, represents higher prediction accuracy. Moreover, the firm TDR probability index accurately depicts the probabilities trend for both groups of distressed and non-distressed firms.

The findings of this study are conclusive. However, the sample size is small. Therefore, further studies could extend the application of the prediction model developed in this study to all the EU countries.

This study has important practical implications. This study responds to the EU directive call by developing the financial distress prediction model to allow debtors to do timely debt restructuring and thus continue their businesses. Therefore, this study could be useful for practitioners and firm stakeholders, such as banks and other creditors, and investors.

This study significantly contributes to the literature in several ways. First, this study develops a model for predicting financial distress based on the argument that corporate bankruptcy and financial distress are distinct events. However, the original Z”-Score model is intended for failure prediction. Moreover, the recent literature suggests modifying and extending the prediction models. Second, the new model is tested using a sample of firms from three countries that share similarities in their TDR laws.

The aim of this paper is to explore how information shared by SMIs affects consumers' food tasting intentions. To achieve this, it integrates the IAM and TAM, in conjunction with trust and EWOM.

This paper utilized a convenience sampling technique, employing a survey instrument to gather data online. The questionnaire was distributed across the social media pages of food bloggers from September 11 to November 30, 2023. The collected data was analyzed using SPSS and AMOS.

We developed a research framework that integrates IAM, TAM, Trust, and EWOM variables to assess how information shared by SMIs influence consumers' intentions to explore new food tastes. The model demonstrated enhanced predictive and explanatory capabilities.

This study enriches the existing literature on information adoption and technology acceptance by advancing our understanding of how SMIs influence consumers’ food tasting intentions. Additionally, it aids SMIs in comprehending their role in endorsing new food products and restaurants, fostering trust and reliability among their followers. This study enables consumers to make more informed decisions about trying new food products or dining establishments, empowering them to evaluate influencer recommendations critically.

This study uniquely focuses on the influence of information shared by SMIs on consumers' intentions to taste new foods. While SMIs have been extensively studied in various contexts, such as fashion, beauty, and travel, this research offers a fresh perspective on understanding their impact on consumer behavior within the food industry.

This study aims to investigate the relationship between corporate governance characteristics and the financial performance of both Islamic and conventional banks in the context of an emerging market, i.e. Malaysia.

This study includes 300 bank-year observations from Islamic and conventional banks over the period 2010–2021. The dynamic panel model (generalized method of moments [GMM]) was considered the primary estimation model that solves simultaneity, endogeneity and omitted variable problems as most governance variables are endogenous by nature. Hence, static models are considered biased after conducting the DWH test of endogeneity, and considering dynamic panel GMM is valid proven by Sargan and Hensen and first-order (ARI) and second-order (ARII) tests.

Based on the regression results, the authors discovered that board size, female participation in the board and director remuneration have a significant positive impact on bank performance, whereas board meetings have a significant negative impact. Furthermore, the board governance structure of commercial banks is found to be more passive than that of Islamic banks.

The study’s findings added a new dimension to governance research, which could be a valuable source of knowledge for policymakers, investors and regulators looking to improve existing governance mechanisms for better performance of conventional and Islamic banks.

The goal of this study is to add to the existing literature by focusing on the impact of female board participation and other board governance mechanisms in both conventional and Islamic banks on bank performance.

In the context of the environmental degradation challenge in manufacturing firms, greening the supply chain (SC) is the most widely endorsed method to mitigate the adverse repercussions of climate change. Based on organizational learning and resource dependence theories, the aim of this research is to know how green supply chain external integration (GSCEI) and green supply chain internal integration (GSCII) influence ambidextrous green innovation (AGI). It also examines the mediating roles of green absorptive capacity (GAC) and green knowledge integration capability (GKIC), as well as the moderating role of green technology dynamism (GTD).

To assess the hypothesized model, data were obtained with 386 questionnaires from managers employed in manufacturing firms in Pakistan applying a cross-sectional approach. A partial least square structural equation modeling technique was implemented to evaluate the data.

The results revealed that GSCEI and GSCII substantially impact AGI. Moreover, GAC and GKIC serve as mediators between GSCEI and AGI. GAC and GKIC also intervene in the relationship between GSCII and AGI. GTD was significant as a moderator for the correlation between GSCEI and AGI. However, it does not moderate the relationship between GSCII and AGI.

This research offers significant comprehension and an innovative approach for manufacturing organizations to curb environmental corrosion by stimulating AGI through green SC integration. It suggests to practitioners that integrating internal knowledge with external partners expands communication and collaboration to ensure that resources connected with environmental preservation flow smoothly.

This research is a valuable addition to the field, as it explores for the first time the missing link among the studied constructs. It opened the black box of how knowledge-related capabilities facilitate knowledge resources to elicit AGI, an area that has not yet been explored.

The purpose of this paper is to explore and critically examine the integration of religious perspectives in diversity and inclusion (D&I) initiatives in the context of international business (IB).

This qualitative study used a case study methodology, focusing on an international consulting firm, inspired by Islamic Sufism, and their clients in South Africa and Pakistan. Data were collected through semi-structured interviews with consultants and clients from 25 organizations, participant observations during training sessions, and document analysis. Thematic analysis was used to identify and analyse patterns in the data.

The study revealed that religious ideas and individuals are marginalized in the global business environment through a phenomenon termed “secularchy”. Consultants from the Islamic Sufi-inspired firm had to detach religious elements from their management model to gain acceptance in secular corporate settings. Participants reported that religious perspectives were systematically excluded and those expressing religious viewpoints faced significant barriers. The findings emphasize the need for more inclusive D&I practices that genuinely integrate religious diversity into organizational cultures.

This study introduces the concept of “secularchy” to describe the systemic marginalization of religious perspectives in IB, a novel contribution to the D&I literature. The authors challenge the dominant secular paradigm in global business, advocating for more equitable and inclusive integration of religious diversity in organizational practices.

This study aims to outline the transformative impacts of technological developments (TD) on architectural education (AE). The focus is on studying the dynamics of convergence and erosion, aiming to understand the impact of current digital transformations such as the COVID-19 pandemic, sustainability considerations and technology integration on AE.

A scientometric analysis and bibliometric search were performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of significant research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 131 journal articles on TD in AE from 2000 to 2023. Subsequently, the VOSviewer software was employed to illuminate the transformative impacts of technological advancements on AE. Robust methodologies, including citation analysis and co-citation networks, unravel quantitative dimensions such as publication trends, influential authors, prolific journals, geographic distribution and prevalent themes or technological domains within the discourse.

The findings reveal significant evolution in AE due to TD, with notable shifts influenced by factors such as the COVID-19 pandemic, sustainability concerns and the integration of modern technologies. Key findings include the increasing adoption of online platforms and technologies like Building Information Modeling (BIM), the crucial role of design thinking methodologies and the recognition of innovative modules such as architectural photogrammetry and augmented reality (AR) applications. Furthermore, keyword clusters were classified into six groups: “AE pedagogy and curriculum development,” “Development of architectural design process and studio,” “Educational approaches and digitalization in architectural design,” “Transition to online AE,” “Development/emergence of photogrammetry at architectural education” and “use of AR.”

Although several studies have addressed TD in AE from various perspectives and methods, they have yet to investigate the subject using scientometric analysis from a holistic perspective. A holistic exploration of TD in AE still needs to be improved in the existing literature. In contrast to previous investigations, this study is the first to leverage the quantitative analytical capabilities of VOSviewer. The originality lies in uncovering quantitative dimensions such as publication trends, influential authors and prevalent themes, providing a comprehensive understanding of the nuanced dimensions of this evolving intersection.

India’s historical fiscal performance has featured elevated deficit levels. Driven by the imperative need for fiscal stimulus measures in response to the crisis, efforts toward fiscal consolidation from 2003 to 2008 were reversed in 2008–2009 due to the financial crisis. These stimulus actions are believed to have wielded a notable influence on inflation dynamics. Presumably, a high inflation rate hinders growth and inflicts severe welfare costs. Accordingly, the principal objective of this paper is to scrutinise the threshold effects of fiscal deficit on inflation within the context of the Indian economy.

We employed the Smooth Transition Autoregressive (STAR) Model, a robust tool for capturing non-linear relationships, to discern the specific threshold level of fiscal deficit. Our analysis encompasses annual data spanning from 1971 to 2020. Additionally, we have leveraged the Toda-Yamamoto causality test to establish the existence and direction of a causal connection between fiscal deficit and inflation in the Indian economy.

Our analysis pinpointed a critical threshold level of 3.40% for fiscal deficit, a value beyond which inflation dynamics in India undergo a marked transition, signifying the presence of significant non-linear effects. Moreover, the results derived from the Toda-Yamamoto causality test offer substantiating evidence of a causal relationship originating from the fiscal deficit and leading to inflation within the Indian economic framework.

The findings of our study carry significant implications, particularly for the formulation and execution of both fiscal and monetary policies. Understanding the threshold effects of fiscal deficit on inflation in India provides policymakers with valuable insights into achieving a harmonious balance between these two critical economic variables.

To the best of our knowledge, this study is the first of its kind to empirically investigate threshold effects of fiscal deficit on inflation in India from a non-linear perspective using the Smooth Transition Autoregression (STAR) model.

Through the review of several journal articles on the adoption of information and communication technologies (ICTs) and how it impacts students’ motivation to continue with their studies or to drop out of their academic program, this study aims to review the literature on the impact of ICTs on student motivation at a university.

This paper is based on a systematic literature review steered by the PRISMA guidelines. This paper uses both Durban University of Technology subscription-based and publicly available papers. The research articles examined were published between 2018 and 2023 in Scopus, Web of Science and ScienceDirect.

Reviewed literature bespeaks that ICTs can increase student motivation by enhancing interactive, engaging and individualized learning. Digital technologies that engage students and offer a more engaging learning environment include instructional apps, online simulations and multimedia content. Using ICTs may be useful in lowering university dropout rates.

The systematic review yielded valuable insights for both academic research and real-world applications in education regarding the Durban University of Technology. The study offers a comprehensive analysis of the nexus between ICTs and student motivation.

This study aims to analyze the two-dimensional ferrofluid flow in porous media. The effects of changes in parameters such as permeability parameter, buoyancy parameter, Reynolds and Prandtl numbers, radiation parameter, velocity slip parameter, energy dissipation parameter and viscosity parameter on the velocity and temperature profile are displayed numerically and graphically.

By using simplification, nonlinear differential equations are converted into ordinary nonlinear equations. Modeling is done in the Cartesian coordinate system. The finite element method (FEM) and the Akbari-Ganji method (AGM) are used to solve the present problem. The finite element model determines each parameter’s effect on the fluid’s velocity and temperature.

The results show that if the viscosity parameter increases, the temperature of the fluid increases, but the velocity of the fluid decreases. As can be seen in the figures, by increasing the permeability parameter, a reduction in velocity and an enhancement in fluid temperature are observed. When the Reynolds number increases, an increase in fluid velocity and temperature is observed. If the speed slip parameter increases, the speed decreases, and as the energy dissipation parameter increases, the temperature also increases.

When considering factors like thermal conductivity and variable viscosity in this context, they can significantly impact velocity slippage conditions. The primary objective of the present study is to assess the influence of thermal conductivity parameters and variable viscosity within a porous medium on ferrofluid behavior. This particular flow configuration is chosen due to the essential role of ferrofluids and their extensive use in engineering, industry and medicine.