This study aimed to examine the impact of digital leadership among school principals and evaluate the mediating effect of Professional Learning Communities (PLCs) on enhancing teachers’ innovation skills for sustainable technology integration, both in traditional classroom settings and e-learning environments. Employing a quantitative approach with a regression design model, Structural Equation Modelling (SEM) and Partial Least Squares (PLS-SEM) were utilized in this research. A total of 257 teachers from 7 excellent senior high schools in Makassar city participated in the study, responding to the questionnaires administered. The study findings indicate that while principal digital leadership does not directly influence teachers’ innovation skills in technology integration, it directly impacts Professional Learning Communities (PLCs). Moreover, PLCs themselves have a significant influence on teachers’ innovation skills in technology integration. The structural model presented in this study illustrates a noteworthy impact of principal digital leadership on teachers’ innovation skills for technology integration through Professional Learning Communities (PLCs), with a coefficient value of 47.4%. Principal digital leadership is crucial in enhancing teachers’ innovation skills for sustainable technology integration, primarily by leveraging Professional Learning Communities (PLCs). As a result, principals must prioritize the creation of supportive learning environments and implement programs to foster teachers’ proficiency for sustainable technology integration. Additionally, teachers are encouraged to concentrate on communication, collaboration, and relationship-building with colleagues to exchange insights, address challenges, and devise solutions for integrating technology, thereby contributing to sustained school improvement efforts. Finally, this research provides insights for school leaders, policymakers, and educators, emphasizing the need to leverage PLCs to enhance teaching practices and student outcomes, particularly in sustainable technology integration.

The digital era has ushered in significant advancements in Generative Artificial Intelligence (GAI), particularly through Generative Models and Large Language Models (LLMs) like ChatGPT, revolutionizing educational paradigms. This research, set against the backdrop of Society 5.0 and aimed at sustainable educational practices, utilizes qualitative analysis to explore the impact of Generative AI in various learning environments. It highlights the potential of LLMs to offer personalized learning experiences, democratize education, and enhance global educational outcomes. The study finds that Generative AI revitalizes learning methodologies and supports educational systems’ sustainability by catering to diverse learning needs and breaking down access barriers. In conclusion, the paper discusses the future educational strategies influenced by Generative AI, emphasizing the need for alignment with Society 5.0’s principles to foster adaptable and sustainable educational inclusion.

The multifaceted nature of the skills required by new-age professions, reflecting the dynamic evolution of the global workforce, is the focal point of this study. The objective was to synthesize the existing academic literature on these skills, employing a scientometric approach . This involved a comprehensive analysis of 367 articles from the merged Scopus and Web of Science databases. Science. We observed a significant increase in annual scientific output, with an increase of 87.01% over the last six years. The United States emerged as the most prolific contributor, responsible for 21.61% of total publications and receiving 34.31% of all citations. Using the Tree algorithm of Science (ToS), we identified fundamental contributions within this domain. The ToS outlined three main research streams: the convergence of gender, technology, and automation; defining elements of future work; and the dualistic impact of AI on work, seen as both a threat and an opportunity. Furthermore, our study explored the effects of automation on quality of life, the evolving meaning of work, and the emergence of new skills. A critical analysis was also conducted on how to balance technology with humanism, addressing challenges and strategies in workforce automation. This study offers a comprehensive scientometric view of new-age professions, highlighting the most important trends, challenges, and opportunities in this rapidly evolving field.

On 17 February 2008, Kosovo declared its independence from Serbia, receiving recognition from over half of the UN member states, the majority of the European Union, Council of Europe and NATO member states, as well as the most industrialized states in the global economic forum. However, Kosovo did not receive recognition from Serbia, China, Russia, India, certain states with diplomatic grievances with the USA, communist dictatorial states like North Korea, and five EU member states, including Romania, Greece, Cyprus, Slovakia, and Spain. This article focuses on Spain’s possibilities and reasons for recognizing Kosovo or not. Using qualitative methodology, five university professors—two from Madrid, one from Barcelona, and two Kosovar professors, one from the University of Pristina and the other from the University of Winchester, England—were interviewed with open-ended questions in November-December 2023. The research identified opportunities and reasons for Spain’s hesitation in recognizing Kosovo, including Spain’s domestic context, historical relations with the Western Balkans and the newly formed countries after the dissolution of Yugoslavia in the early 1990s, as well as the European and international political context. The research results show that Spain has been hesitant to recognize new states quickly, not only in the case of Kosovo, due to the context of autonomist aspirations within Spain and reluctance to draw parallels between Kosovo and Spain’s autonomous regions.

 In the face of growing disruptions within the unconventional business environment, this study focuses on enhancing supply chain resilience through strategically reforming resources. It highlights the importance of understanding the dynamics and interactions of resources to tackle supply chain vulnerability (SCV) in the manufacturing sector. Employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology alongside an adapted Analytic Network Process (ANP), the research investigates supply chain vulnerabilities in Pakistan’s large-scale manufacturing (LSM) public sector firms. The DANP method, through expert questionnaires, helps validate a theoretical framework by assessing the interconnectedness of supply chain readiness dimensions and criteria. Findings underscore Resource Reformation (RR) as a critical dimension, with the positive restructuring of resources identified as pivotal for public sector firms to align their operations with disruption magnitudes, advocating for a detailed analysis of resource utilization.

Empirical evidence suggests that generational cohorts display behavioral differences due to rapid advancements in science and technology and enhanced living standards. However, systematic studies examining the behaviours of different generations and their impact on creativity and its various antecedents are scant. This study was undertaken to bridge this gap in the literature by focusing on how generational differences could impact a few behavioural antecedents and employee creativity. The antecedent behaviours examined include self-efficacy, organizational commitment, employee empowerment, and work engagement. Data for the study was collected online using structured, standardized questionnaires. Data were collected from 432 samples and analyzed using Smart-PLS. The results show that most of the proposed antecedents impacted creativity. However, generational differences did not moderate the relationship between the antecedents and creativity. The study will interest scholars and social scientists, as it is the first to be conducted in Saudi Arabia. The study also discusses the implications and limitations. It is expected that the findings of this study will trigger more studies.