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Gender disparity is a global phenomenon where females outnumber male participants. It has been observed that males are the early leaver from higher education, thus reflecting a severe concern about social instability. Malaysia is a prominent example where females outnumber males in higher education. In this context, this paper aims to examine the effect of individual, social and financial factors on the higher education self-efficacy of male and female students. It develops a comprehensive understanding of gender-based decision factors in pursuing higher education.

The hypothesis was formed based on a comprehensive literature review following the hypothetico-deductive positivist approach. These hypotheses were tested based on a sample of 250 respondents. A multiple regression analysis was deployed to test the relationship between the dependent variable and its predictors.

The results suggest that male and female students’ self-efficacy depends on five determinants, i.e. family influence, peer influence, career expectancy outcome, gender roles and institutional factors. Male students tend to be influenced more by these five determinants than females. Additionally, male students with better financial backgrounds are more likely to have higher self-efficacy, whereas gender roles negatively affect male and female students’ self-efficacy for higher education.

The breakout of COVID-19 resulted in the selection of limited students in Malaysia. Due to restricted movement orders, it was impossible to reach out to the students for data collection. Future research could include a broader area to include multiple other regions of Malaysia. For a broader aspect, the study could be conducted in other areas/countries where the problem of less male participation exists.

The relationship between higher education self-efficacy is assessed with social, financial and institutional factors for male and female students. It will enable the stakeholders and policymakers to make better decisions in increasing the self-efficacy of students to attain equity in higher education institutions.

The finding of this paper will assist in increasing male participation in higher education institutions to avoid any social instability.

This paper contributes to the literature in understanding the causes of gender gap reversal, focusing on Malaysian higher education institutions. It also provides empirical evidence to look at potential factors that affect the higher education self-efficacy of male and female students.

This paper aims to investigate the relationships between key mediators, namely, Muslim-friendly context and the intention of tourists to revisit edu-tourism destinations in Terengganu.

The study engages tourists and visitors who have explored seven distinct edu-tourism destinations, with a total sample size of 384 participants. Data analysis is conducted using the Statistical Package for the Social Sciences and Analysis of Moment Structures for structural equation modeling.

Findings indicate that Muslim-friendly does not mediate the relationship between tourism operators, events and investment concerning tourists revisiting Terengganu. However, it plays a significant mediating role between local communities, educational institutions and tourism organizations.

Despite valuable insights, limitations arose due to a lack of Terengganu-specific literature on Muslim-friendliness in edu-tourism, leading to reliance on studies about Sharia-compliant hotels, the broader tourism industry and Islamic tourism.

The thriving halal tourism industry’s growth has heightened awareness of Muslim-friendly destinations, like Terengganu. The state actively promotes diverse halal services for Muslim travelers, encouraging operators to prioritize Sharia-compliant facilities. Strategic marketing and government support for Sharia-compliant edu-tourism investments aim at fostering economic growth and ensuring sustainability.

Social implications stress the need for inclusivity and cultural sensitivity in Terengganu’s tourism. Prioritizing Muslim-friendly services not only boosts economic growth but also fosters an inclusive and welcoming environment for diverse travelers. Government support for Sharia-compliant edu-tourism investments aligns development with cultural and religious values, promoting a harmonious and inclusive society.

This research explores Terengganu’s innovative edu-tourism approach, prioritizing Muslim-friendly services for diverse travelers. By emphasizing Sharia-compliant facilities and investments, the region aims to foster economic growth and create an inclusive cultural environment.

The Technical Education and Vocational Training Authority (TEVTA) plays a crucial role in the socioeconomic development of a country. Still, it is often stigmatized as a secondary choice in the Global South. This study explored the interrelationships and impacts of factors such as family, school, and society on the perception and reputation of TEVTA.

By employing quantitative methods, the analysis focused on how family, society, and school support influence these perceptions and reputations within TEVTA programs. Social Cognitive Theory is the theoretical underpinning of this study, in which 350 students from 13 TEVTA institutes participated by filling out questionnaires. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and IBM SPSS 28.

This study indicates that family and societal influences significantly shape students' perceptions, confirming their pivotal role in enhancing the reputation of these programs. School support also emerged as a critical factor, significantly impacting students' perceptions but not directly influencing the programs' reputation. The analysis underscores the importance of understanding the sociocultural context to develop effective strategies for the TEVTA sector in Pakistan. This clear understanding is essential for developing effective strategies to improve the reputation of TEVTA programs in this setting. Moreover, this research offers policy suggestions to make vocational education more attractive and accessible to diverse students, ultimately contributing to the country's socioeconomic development.

This study applied Social Cognitive Theory (SCT) to explore how individual thoughts, environmental influences (such as family, school, and society), and behaviors interact within the context of TEVTA programs. This approach fills gaps in current research and offers a clearer understanding of what affects TEVTA's perception and reputation.

This study delves into the behavioural intentions of educators within medical colleges at Mosul Universities concerning the adoption of Knowledge Management-Driven Metaverse technology (KM-D-MT). Rooted in an adapted Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, the research aims to enrich the understanding of Metaverse adoption factors, exploring correlations among key constructs such as performance expectancy, effort expectancy, social influence, facilitating conditions, perceived value, hedonic motivation and interaction. Furthermore, the study investigates the mediating roles of knowledge generation and knowledge sharing in the relationship between interaction and behavioural intention.

The research employs a quantitative approach, gathering 278 responses from educators in medical colleges. Structural Equation Modelling-Partial Least Squares (SEM-PLS) is used to analyse the data, rigorously examining the reliability and validity of research instruments. The investigation involves an extensive evaluation of various factors influencing educators’ intentions to adopt KM-D-MT, using a cross-sectional design.

The study reveals significant positive impacts of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived value and hedonic motivation on behavioural intention to adopt KM-D-MT. Interaction is identified as a key factor positively influencing knowledge sharing and knowledge generation. Furthermore, knowledge sharing and knowledge generation exhibit positive correlations with behavioural intention. Interaction indirectly impacts behavioural intention through the mediating roles of knowledge generation and knowledge sharing, highlighting the transformative potential of Metaverse technology in reshaping knowledge processes.

The findings of this study hold practical implications for educators, institutions and policymakers. The adoption of KM-D-MT can enhance educational experiences, facilitate global collaboration and contribute to the continuous professional development of educators in medical colleges. Institutions are encouraged to strengthen technological and organisational infrastructure to support effective Metaverse implementation. Furthermore, promoting positive social norms, providing technical support and offering training programs can contribute to overcoming barriers and fostering a conducive environment for Metaverse adoption in medical education.

This research significantly contributes to theoretical perspectives by advancing Metaverse research and addressing the call for extensive studies covering theoretical, conceptual and empirical elements. It extends current UTAUT2 frameworks, exploring correlations in the context of medical education and contributes to knowledge management paradigms. The study’s originality lies in its exploration of Metaverse acceptance in higher education institutions, specifically in medical colleges in Iraq, providing valuable insights for further research and practical applications globally.

In the realm of construction education, the investigation of immersive learning and extended reality (XR) technologies has experienced a surge in recent times. Nevertheless, there remains a notable lack of comprehension surrounding the most efficient ways to integrate these technologies into tailored teaching approaches for vocational construction training. This research study aims to pinpoint the key factors that construction vocational education and training (VET) providers must consider when introducing XR technologies into their training schemes.

This study conducted an in-depth literature review to develop an initial framework to summarise training, technology and institutional factors influencing the educational-technology integration of XR technologies in VET. In addition, this study utilised a Delphi technique, including semi-structured group discussions and two rounds of online follow-up questionnaires, to capture VET experts’ judgements on the importance of decision-making criteria.

This study has identified the critical factors to be considered in the VET sector when adopting XR technologies. Findings revealed institutional factors were the most important criteria for participants, followed by training and technology factors.

The current decision-making process focuses on selecting XR technologies rather than evaluating their performance after implementation. Therefore, more research is needed to monitor the implementation of this technology in curricula from a senior management perspective. This will help to understand the cost and value factors related to the value proposition of XR technologies in courses.

To ensure the success and long-term viability of the technology-curriculum interface, it is important to consider factors such as the availability of technical and educational support, data security and cost-effectiveness. It is also crucial to focus on ease of use and content development that emphasises instruction to create engaging content for learners.

The potential impact of this study is underpinned by two facts: (1) it constitutes the first effort made in the field to comprehensively elicit VET expert judgements in relation to XR technologies, and (2) it offers decision-making criteria that are at play in seeking to take advantage of high-cost technologies that are rapidly evolving. While there is no simple checklist for XR implementation, this study takes a step further to identify significant factors influencing XR integration in vocational construction training.

Considering the construction industry’s vital role in economic development and social consequences, this study seeks to pinpoint critical barriers hindering Turkey’s sustainable construction (SC). Although several studies highlighted the barriers to SC worldwide, none identified the critical factors. By identifying and understanding these barriers, the research aims to comprehensively understand practices and formulate strategic recommendations to promote sustainable construction.

A systematic approach is adopted to achieve the research objectives. The study involves identifying potential barriers to SC with a systematic literature review. A questionnaire was organized and distributed via e-mail to architects, civil engineers, and contractors. The criticality of identified barriers was determined with normalized mean value analysis, and critical barrier factors (CBFs) to SC were isolated with exploratory factor analysis. Finally, the effect size of these factors was quantified through structural equation modeling.

This study identified 32 critical barriers hindering the SC in the Turkish construction industry among 49 barriers. Furthermore, this study revealed six CBFs to SC that are “inadequate supervision and control of SC,” “fear of transition to sustainable construction and disruptions in adoption,” “lack of educational opportunities,” “return on investment and financial bias,” “awareness and knowledge gap about SC,” and “lack of demand from stakeholders.” Among them, “awareness and knowledge gap about SC,” “fear of transition to SC,” “lack of educational opportunities,” “lack of demand from stakeholders,” and “inadequate supervision and control of SC” were determined as the very highly crucial CBFs hindering SC.

Although some studies have identified the barriers to SC qualitatively and quantitatively, studies have yet to provide insights into the critical barrier factors hindering SC. Therefore, this study comprehensively and quantitatively determines the relevant CBFs to SC using exploratory factor analysis and utilizes confirmatory factor analysis and structural equation modeling to present a structural model of how critical factors affect the SC.

The purpose of this study is to explore the contributions of peace and security to the self-development of educators in Syria. It focuses on understanding how these elements impact the equitable distribution of benefits, treatment, facilities and resources. The study aims to uncover the intricate relationship between a secure, peaceful educational environment and the personal and professional growth of educators, thereby shedding light on how these factors synergistically enhance the educational landscape in Syria.

This study employs the Partial Least Squares Structural Equation Modelling (PLS-SEM) method for data analysis. Data were gathered through an online survey distributed to 472 Syrian educators from 14 provinces. The questionnaire, provided in Arabic, consisted of sections on demographics, peace and security, religion and cultural values, core values for self-development and government intervention. The data were analysed using IBM SPSS for descriptive analysis and PLS-SEM for causal effect analysis, allowing for the modelling of latent variables and handling non-normality in small to medium-sized samples.

The study found a positive correlation between peace and security, government intervention and self-development among Syrian educators. However, government intervention was identified as a poor moderator due to the unfavourable connection between past government actions and current expectations. The findings challenge the government to be proactive in addressing issues and concerns related to fair treatment and creating a harmonious academic environment. Educators seek equality in support and assistance across various academic activities for their self-development.

The study’s primary limitation is the use of convenience sampling, as the researchers faced difficulties in disseminating the questionnaires due to being non-local. This might affect the generalizability of the findings. Future research could employ a more randomized sampling method and expand the scope to include more diverse educational settings. The implications of this study are significant for policymaking, suggesting that targeted government interventions are necessary to foster a supportive and secure environment for educators.

The study underscores the need for more effective government policies that prioritize peace and security in educational settings. These interventions are crucial for the well-being and development of educators, ultimately improving educational quality in Syria. Practical recommendations include continuous support for educators through professional development programmes and equitable distribution of resources. By fostering a supportive environment, educators can better contribute to the educational sector and broader societal development.

By highlighting the critical role of peace and security in educators' self-development, the study contributes to broader social stability and cohesion. It advocates for policies that address the diverse needs and challenges faced by educators in Syria, ensuring they are well-supported in their roles. Enhancing educators' well-being and effectiveness can lead to improved educational outcomes, benefiting students and contributing to the nation’s long-term social and economic development.

This study provides a unique contribution by focusing on the nexus of peace, security and self-development among educators in Syria, an area previously underexplored. The findings offer valuable insights into the specific challenges and needs of educators in a conflict-affected region. The research emphasizes the importance of a peaceful and secure educational environment for the professional growth of educators, offering a foundation for future studies and policy discussions aimed at enhancing the educational landscape in Syria.

Education 4.0 (E 4.0) represents a new paradigm in the field of education, which emphasizes a student-centric approach that allows learners to access education anytime, anywhere, tailored to their individual needs through modern-day technologies. The purpose of the study was to unearth the critical success factors (CSFs) essential for the successful implementation of E 4.0.

The CSFs were unearthed using a literature review and further the interrelationships were analysed using multi-criteria decision making (MCDM) approach.

The study unearthed 15 CSFs for the successful implementation of E 4.0. The most important factor for the successful implementation of E 4.0 was personalized learning which was found to be the casual factor. The other causal CSFs were clear vision and leadership for E 4.0, stakeholder involvement, data analytics in teaching and learning, inter-disciplinary learning and blended learning environments. The effect factors were digital citizenship-based education, teacher training and development for E 4.0, supportive environment, curriculum redesign for E 4.0, open educational resources, digital technologies, formative assessments, infrastructure for E 4.0 and sustainability in education.

This is the first study which unearthed the CSFs and found the interrelationships among them, thus contributing to the theory of technology organization environment.

This study represented a pioneering effort in understanding the CSFs underpinning the successful adoption of E 4.0, paving the way for a more personalized, tech-savvy and effective education system.

This study examines the factors influencing educational aspirations among adolescents in secondary and high schools across Kazakhstan, Kyrgyzstan (officially Kyrgyz Republic), and Tajikistan, with a focus on their aspirations for higher and postgraduate education. Through an analysis of a sample comprising 1360 students from grades 7 to 11, the research explores the likelihood of these students pursuing tertiary education.

The ordered logit regression models were used to analyze the impact of variables related to family background, including parents’ education, family support and SES, and school grade. Additionally, the Exploratory Factor Analysis was utilized to distill a smaller set of underlying factors or constructs from the measured variables.

The findings indicate that the mother's education level is significantly more influential compared to the father's education in shaping adolescents' aspirations for higher and postgraduate education in the Central Asian context. Additionally, hypotheses concerning the influence of family socioeconomic status (SES), family support, and grade-level differences on adolescents' higher educational aspirations have only been partially confirmed.

To the best of the authors' knowledge, no prior research work has indicated a significant impact of a mother's education on the educational aspirations of her offspring in the Central Asian region. This trend is consistent with the concept of educational hypogamy, wherein mothers possess higher educational levels than fathers, a phenomenon that is gaining prominence in contemporary family dynamics.

This study aims to contribute to the ongoing assessment of executive compensation by investigating the nexus between managerial entrenchment factors, adopting a multifaceted perspective encompassing both economic and non-economic dimensions.

This research employs pooled cross-sectional Ordinary Least Squares (OLS) regression and Least Squares with Dummy Variables (LSDV) models with fixed effects to examine the determinants of Chief Executive Officer (CEO) compensation.

This research identifies firm size, performance (via ROA and Tobin’s Q), and CEO characteristics (age, tenure, stock ownership, MBA degree) as significant determinants of executive compensation at the 0.05 level. In contrast, the prestige of educational institutions, doctoral degrees, and the MBA’s relevance to short-term performance, along with CEO tenure, do not significantly affect pay. Additionally, the study highlights the significance of industry type (manufacturing vs technology) in shaping compensation, emphasizing the role of firm metrics and CEO credentials in designing executive pay packages.

This research introduces an innovative approach to controlling unobserved heterogeneity and adjusting for the dynamic nature of CEO compensation attributes across diverse CEO characteristics. By integrating both pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models, the study addresses the challenges posed by time-invariant variables and unobservable heterogeneity. Such issues have historically skewed the accuracy of traditional OLS models in identifying the comprehensive array of factors—both economic and non-economic—that influence CEO compensation. This novel methodological framework significantly advances the examination of unobservable variables that may vary not only across the firms selected for analysis but also over time periods, thereby offering a more detailed understanding of the determinants of CEO pay.