Adult vocational training of higher education institutes has great potential to help workforce coping with uncertainties of the fast-changing Labor market in the era of Industrial Revolution 4.0. However, the lack of clarity regarding strategies for effectively establishing adult vocational training in higher education institutes may hinder progress. The aim of this study was to develop agreed strategies of adult vocational training for higher education institutes in Guangxi Zhuang Autonomous Region, China. The 3-round Delphi method used semi-structured interviews and questionnaires to explore and reach an agreement on the future direction of the strategies. The semi-structured interview was used in the first round to explore the ideas in relation to such strategies. the questionnaires were used in the second and the third rounds to explore further and reach the consensus on expert opinions defined at interquartile range (IQR) ≤ 1. Besides that, Analytic Hierarchy Process (AHP) methods were used to calculate the weights of each consented statements. Through Delphi method, the comprehensive strategies have been articulated with the highlights of 1 vision, 6 goals and 40 actionable strategies. furthermore, the experts commonly highlighted that the vision of future adult vocational training shall prioritizes cultivating skilled professionals with industrial needs, offering everyone accessible opportunities for career development. Besides that, the result also showed that reskilling and upskilling and extending the leaners’ interpersonal networks have been ranked as the two most important goals for future adult vocational training in higher education institutes.

Primary reason for interpretation the paper was the creation of a starting position for setting up e-learning in the structures of the executive forces of the Slovak Republic, which absent in the current dynamic environment. Problems with education arose mainly in connection with the global problem of Europe, such as the influence of illegal migrants, and it was necessary to retrain a large number of police officers in a short time. We reflect on the combined model of LMS Moodle and proctored training through MS TEAMS and their active use in practice. We focused on the efficiency in the number of participants in individual trainings and costs per participant according to the field of training. We compared the processed data with the costs of the pilot introduction of analytical organizational unit providing e-learning and interpreted the positive results in the application of e-learning compared to conventional (face-to-face) educational activities. As a basic (reference) comparative indicator, the costs of educational activities of selected organizational unit of state institution represented by own educational organizations and the number of trained employees for the periods in question were chosen. To measure effectiveness, we set financial—cost KPIs. Our findings clearly demonstrated that it is possible to significantly optimize costs when changing the current form of ICT education to e-learning. The implementation of another educational activities form of education, e-learning, within public institutions, according to the results of the analysis, can simplify and at the same time make education processes more efficient in the context of individual subjects of the Ministry of the Interior of the Slovak Republic.

Good health and well-being are embedded in the 3rd Goal amongst the UN Sustainable Development Goals. The primary objective of this research was to identify the most critical economic, social, and administrative barriers to implementing the Expanded Program on Immunization (EPI) in the Punjab Province of Pakistan. A sequential exploratory design and case study technique were used, employing both qualitative and quantitative methods. In the first stage, in-depth interviews with 50 key officials were conducted to identify the most critical barriers to the EPI program. A quantitative analysis was then performed based on the results obtained from qualitative analysis, and rank orders of barriers were received from the same health department experts. The results indicate that twenty-eight barriers can cause implementation problems for this program. Still, the ten barriers that gained the maximum hits are the most important barriers, which include Shortage of vaccinators, mismanagement of vaccines’ cold chain, biometric android application, ice-lined refrigerators, communication gap, inadequate legislation of EPI program, capacity building issues with EPI staff, Misconceptions about EPI program, lack of awareness of the parents and community, refusal cases and inadequate cooperation of lady health workers (LHWs). Coordinated efforts of the government and the public are highly recommended to address these barriers.

This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Using Smart-PLS4, five hypotheses derived from the research questions were tested based on data collected from an E-Questionnaire distributed to academic faculty members and education managers. Of the 311 valid responses, the measurement model assessment confirmed the validity and reliability of the data, while the structural model assessment validated the hypotheses. The study’s findings reveal that New Approaches to Learning Outcome Assessment (NALOA) significantly contribute to achieving SDGs, with a path coefficient of 0.477 (p < 0.001). Similarly, the Use of Generative AI Technologies (UGAIT) has a notable positive impact on SDGs, with a value of 0.221 (p < 0.001). A Paradigm Shift in Education and Educational Process Organization (PSEPQ) also demonstrates a significant, though smaller, effect on SDGs with a coefficient of 0.142 (p = 0.008). However, the Opportunities and Risks of Generative AI in Education (ORGIE) study did not find statistically significant evidence of an impact on SDGs (p = 0.390). These findings highlight the potential opportunities and challenges of using generative AI technologies in education and underscore their key role in advancing sustainable development goals. The study also offers a strategic roadmap for educational institutions, particularly in Oman to harness AI technology in support of sustainable development objectives.

The Malaysian government’s heightened focus on Technical and Vocational Education and Training (TVET) reflects a strategic move towards economic and social development, particularly in addressing youth unemployment. Recognizing the potential of TVET to contribute to these goals, there is a specific emphasis on enhancing the marketability of women in the workforce from the current 62 percent to an ambitious 95 percent. However, a notable gender gap persists in entrepreneurial pursuits within the TVET sector in Malaysia, with female representation lagging. To bridge this gap, this study aims to construct a comprehensive framework that nurtures future-ready female TVETpreneur talent. This initiative aligns with the Malaysian Higher Education Blueprint, 2021–2025, i.e., fostering a diverse and innovative workforce. An extensive literature survey was conducted to identify the factors influencing female TVET students’ entrepreneurial intention. The literature revealed that social psychological and organizational approaches are commonly used to explore and analyze the relationship between the influence of female TVET students’ talents and behavior, their exposure to entrepreneurship, mentorship and support programs, role models in TVET, curriculum design, and access to resources. A comprehensive theoretical framework was developed based on these findings, which offers significant insights related to enhancing TVET opportunities for women and advancing Malaysia’s economic and social development goals in a sustainable way.

This study investigates the application of Operational Agility Management in Thai SMEs, examining its impact on Employee Dynamic Capability and the resulting Employee Value Proposition. Using a quantitative approach with a questionnaire survey targeted at Thai SME executives, the research analyzes the relationships between “Value of Work”, “Goal Orientation”, and “Network Communication” as independent variables, “Employee Dynamic Capability” as a mediating variable, and “Employee Value Proposition” as the dependent variable. The findings reveal that Thai Small and Medium-sized Enterprises (SMEs) struggle particularly with “Network Communication” in enhancing their “Employee Value Proposition”, primarily due to their predominant hierarchical command structure. This challenge highlights the need for Thai SMEs to reassess their organizational structures and communication practices to improve employee dynamic capabilities and overall employee value proposition. The study provides novel insights into the application of Operational Agility Management in Thai SMEs, bridging the gap between high-performance management theories and the practical realities faced by SMEs in unpredictable business environments, thus offering a unique perspective on cultivating employee dynamic capabilities in this setting.