Journal of Asian Scientific Research

The impact of professional identity on teachers' professional well-being: The mediating role of social support

2025-05-11T02:45:00-05:00

This study explores how professional identity affects professional well-being, examining whether social support mediates between the two variables. The convenience sampling method was adopted. A total of 1,321 valid data points were selected from five undergraduate institutions in Hebei Province. This article refers to the three scales and uses SPSS 24.0 and AMOS 24.0 software to analyze the data. Professional identity positively impacts both professional well-being and social support. Social support has a positive impact on professional well-being and plays a partial mediating role. There is a significant relationship among the variables, and social support partially mediates the relationship between professional identity and professional well-being. The sampling scope is limited to some undergraduate institutions in Hebei Province, which may affect the generalizability of the research. It provides valuable practical guidance for enhancing professional well-being, such as strengthening teachers' professional identity and optimizing social support.

The impact of social media interactivity of sports organizations on consumer loyalty

2025-05-11T02:50:38-05:00

Consumer loyalty in the social networking sites (SNSs) environment is influenced not only by basic engagement but also by various other factors. This study examines the impact of social media interactivity, such as user control, personalization, responsiveness, interestingness, and two-way communication, on consumer loyalty in the context of sports organizations. Using SPSS 30.0 and AMOS 29.0, a survey was conducted with 212 university students in South Korea, and structural equation modeling (SEM) was employed to analyze the data. Among the five dimensions of social media interactivity, user control, interestingness, and two-way communication positively influence consumers’ social presence, which subsequently has a significant impact on consumer loyalty. Furthermore, social presence has a stronger effect on consumer loyalty than relationship satisfaction. This study demonstrates the impact of social media interactivity of sports organizations on consumer loyalty and identifies the unique contribution of social presence to enhancing consumer loyalty. This study provides nuanced insights into the influence of social media interactivity on consumer loyalty within sports organizations. It helps sports organizations to develop appropriate strategies to strengthen their emotional connection with consumers.

The relationship between mathematics-focused epistemological beliefs and metacognitive awareness of secondary school students

2025-05-12T08:13:22-05:00

This study investigates the relationship between secondary school students’ mathematics-focused epistemological beliefs and their metacognitive awareness. Employing a correlational survey design, the sample comprises 494 students in Türkiye. Data were collected using the Mathematics-Focused Epistemological Belief Scale and the Metacognitive Awareness Scale for Children. The findings indicate that students’ belief that learning depends on effort (BLDE) is at a high level, while the belief that learning depends on ability (BLDA) and the belief in a single truth (BST) are at moderate levels. Metacognitive awareness was also found to be high. A moderate, positive correlation was observed between BLDE and metacognitive awareness, whereas the correlation between BST and metacognitive awareness was negative and weak. No significant relationship was found between BLDA and metacognitive awareness. Regression analysis revealed that the BLDE dimension significantly predicted metacognitive awareness. Additionally, variables such as gender, grade level, parental education level, and average daily study time were analyzed in relation to the sub-dimensions. The results highlighted that increased effort belief was consistently associated with higher metacognitive awareness across subgroups, while belief in a single truth tended to relate negatively. These findings underscore the importance of fostering epistemological beliefs centered on effort to enhance students’ metacognitive skills, which are crucial for effective mathematical learning and problem-solving.

Entrepreneurship as a pathway to economic empowerment for ethnic minority women in Vietnam

2025-07-22T09:46:25-05:00

This study explores the relationship between entrepreneurship and the economic empowerment of ethnic minority women in Vietnam, aiming to identify the key factors driving their entrepreneurial success. Using Structural Equation Modeling (SEM), the study examines how cultural traditions, market dynamics, empowerment through entrepreneurship, support networks, and ethical business practices influence economic empowerment. Cultural traditions emerged as a significant driver of economic empowerment, while market dynamics had a less pronounced impact. Entrepreneurship functions as both a source of income and a vehicle for personal and social empowerment. Support networks and ethical business practices are crucial in enabling inclusive economic participation. A reinforcing loop was identified, wherein empowerment led to sustained entrepreneurial engagement. Entrepreneurship serves as a multidimensional tool for ethnic minority women, not only improving economic outcomes but also enhancing agency and inclusion. Culturally embedded approaches are essential for effective support and empowerment. Policy interventions must move beyond generic economic frameworks and instead incorporate cultural sensitivity and tailored support systems. Strengthening community-based networks and ethical entrepreneurial ecosystems can significantly improve the sustainability and inclusivity of women-led enterprises.

Decoding cultural tapestries: A deep dive into Indian social stigma patterns in large language models

2025-07-22T10:26:21-05:00

The widespread adoption of Large Language Models (LLMs) raises critical concerns about the amplification of societal biases, especially in non-Western contexts where cultural and social nuances are often underrepresented. This study introduces a multi-agent bias detection framework to systematically evaluate GPT-4o, Claude 3.5 Sonnet, and Llama 3.3 across Indian social stigma categories, including caste, religion, gender, mental health, socio-economic status, appearance, language/region, and family dynamics. We present SocialStigmaQA, a benchmark dataset of 320 prompts, validated through expert review and pilot testing, and use the Overall Bias Detection Factor (OBDF) to measure model performance. Findings reveal that Claude 3.5 Sonnet achieved the highest OBDF (98.75%), demonstrating superior bias detection across all categories, while GPT-4o showed moderate performance (72.8%) with noticeable gaps in gender and socio-economic domains. Llama 3.3 scored the lowest (71%). The multi-agent framework enhanced detection accuracy by 25–30% over single-agent models, particularly in subtle bias areas. These results underscore the need for culturally contextualized evaluation frameworks and suggest that OBDF-like metrics should be integrated into India's AI auditing processes to ensure fairness, inclusivity, and ethical deployment of AI systems in sensitive sectors such as hiring, education, and governance.

An institutional leadership framework on university academics’ decision to become institutional leaders: A Malaysian perspective

2025-07-22T10:36:14-05:00

This study examines the factors that influence academics' decisions to accept or decline leadership roles in Malaysian universities. A questionnaire survey was distributed to a total of 1,771 academics from public and private institutions in Malaysia. The study shows that the majority of academics in universities, regardless of whether they are public or private, are reluctant to take on administrative roles. In particular, female academics in public universities have no ambition for administrative roles, while female academics in private universities show a strong enthusiasm for taking up administrative positions. In terms of age, academics of all age groups made comparable choices, but those under 30 years old have a greater propensity to aspire to administrative positions. Associate professors at private universities also opt for administrative roles. The factors influencing academics' decisions to accept or decline administrative positions are categorized into five groups: career development, skills and experience, preferences, perceptions, and organizational factors. The findings suggest that the increasing number of academics not seeking institutional leadership positions is a concern, as universities need a sufficient pool of potential successors to effectively fulfill their mission and vision. This study recommends implementing awareness and training initiatives to inspire academics, especially young academics, to assume leadership roles within their institutions.

Binary logistic regression to assess the factors affecting the infection of toxoplasmosis

2025-07-22T10:50:04-05:00

Logistic regression method (LR) is one of the most widely used modeling techniques in various fields of science, especially in clinical medicine where variables are often dichotomous. The factors that cause toxoplasmosis (T. gondii) are well explained by most clinical investigators. Therefore, the main objective of this article is to identify the most significant factors leading to toxoplasmosis infection. The binary logistic regression method has been used to interpret the study's findings. A clustered sampling technique with an informative questionnaire was used in the survey to collect a relevant sample of 508 individuals from the most affected areas, specifically the northern part of Saudi Arabia. SPSS as well as AMOS are the typical statistical analysis tools used to investigate the results. The binary logistic techniques showed that the factors (stillbirth, women’s direct contact with soil, and keeping indoor cats) were the most significant factors influencing infection with toxoplasmosis, without neglecting some other invisible factors. Only 18.9% of the variation in the dependent variable (Toxoplasmosis infection) is attributed to the independent variables (which is moderate, with Nagelkerke’s R square = 0.189). Early medical follow-up and health awareness campaigns should be adopted, especially in remote rural communities.

The impact of female directors' individual characteristics on corporate financial performance: Evidence from China’s a-share listed companies

2025-07-22T11:05:00-05:00

This study investigates how the individual traits of female directors influence corporate financial performance in the context of Chinese listed firms. While prior research has largely emphasized the general impact of gender diversity, this paper focuses on specific attributes such as age, education, overseas experience, financial expertise, and professional background to assess their effects on board decisions and market outcomes. Drawing on a large sample of firms, the study adopts a quantitative approach to examine the variability in these traits and their correlation with financial performance indicators. The findings reveal that not all female directors contribute equally; instead, their unique backgrounds play a significant role in shaping strategic decisions and enhancing firm outcomes. Notably, educational diversity, international exposure, and financial skills emerge as key traits linked to stronger financial results. This study shifts the focus from gender representation to the diversity of qualifications and experiences among women directors, providing a more nuanced understanding of board dynamics. The implications are relevant for policymakers and corporate leaders aiming to improve board effectiveness through targeted appointments. The research contributes to the literature on corporate governance by highlighting the strategic value of trait-based diversity and offers insights for optimizing board composition in a competitive global business environment.

Climate change trends in Vietnam: Evidence from 14 provinces and cities

2025-07-22T11:20:43-05:00

Climate change progresses gradually but remains a challenge that humanity must actively address in the most constructive and positive manner. Understanding specific trends in temperature change is essential for developing proactive and effective solutions. The study was conducted to analyze surface temperature trends using econometric and machine learning models. Data was collected monthly from January 2002 to December 2023 across 14 provinces and cities in Vietnam, ranging from Tuyen Quang to Ca Mau Cape. The results show that, on average, temperatures increase by 0.38754°C every decade. All provinces exhibit a tendency of rising temperatures, ranging from 0.2016°C to 0.57228°C per decade. Northern provinces show higher temperature increases, with Hanoi experiencing the highest rise. The main trend indicates that temperatures during the hot season increase more significantly than during the cold season, exacerbating negative impacts. The research highlights the critical need to focus on measures to minimize temperature increases in Vietnam. Therefore, it is essential to prioritize green economic development in alignment with environmental protection goals. These findings deepen the understanding of environmental changes, emphasizing the importance of connecting economic and social development goals with environmental protection and sustainable development objectives for the future.

Climate risk and credit risk: The role of corporate social responsibility – a system GMM analysis of MENA banks

2025-07-22T14:46:07-05:00

The current study explored whether Corporate Social Responsibility (CSR) can moderate the association between climate risk and bank credit risk in the Middle East and North Africa (MENA) region. To achieve this objective, we used a sample of 70 conventional banks from 12 MENA countries over the period 2010-2022. This paper employs the System Generalized Method of Moments (SGMM) as an empirical approach to assess the effect of climate risk (CRI) on credit risk, the impact of Corporate Social Responsibility (CSR) on the credit ratio, and the effect of CSR on the link between climate risk and credit risk. The empirical results show that climate risk increases credit risk, while Corporate Social Responsibility significantly reduces the level of credit risk for MENA banks, measured by the non-performing loans (NPLs) ratio and the loan loss provisions (LLP) to total assets (TA) ratio. Furthermore, findings support evidence that the interaction between climate risk and Corporate Social Responsibility significantly decreases the level of credit risk, a conclusion consistent across the two different measures of credit risk. The findings of this study offer valuable implications for bank managers, regulators, and policymakers seeking to improve credit risk management in the face of climate-related financial risks.