Integrating Education 4.0 in higher education necessitates a transformational leadership approach that champions innovation and technology adoption. This paper reviews the impact of transformational leadership in fostering a conducive environment for Education 4.0, emphasising personalised and technology-enhanced learning experiences. With their vision and motivational prowess, transformational leaders are crucial in steering educational institutions through digital transformation, encouraging the adoption of advanced technologies like artificial intelligence, virtual reality, and data analytics. These leaders are pivotal in nurturing a culture of continuous improvement and empowerment, actively involving team members in pursuing collective achievements and personal growth. The study highlights the importance of transformational leadership in addressing the dynamic challenges and opportunities presented by Education 4.0. By inspiring educators and students to embrace change, transformational leaders facilitate the integration of innovative teaching methods and technologies, enhancing learning outcomes and preparing students for the demands of the digital age. The findings suggest that transformational leadership is instrumental in creating a flexible, relevant, and forward-thinking educational environment that aligns with the objectives of Education 4.0. This paper advocates strategically emphasising the development of transformational leaders within academic institutions. Such leadership is essential for navigating the complexities of digital-area education, ensuring institutions remain adaptive and responsive to technological advancements, and equipping students with the necessary skills to thrive in a rapidly evolving landscape.

As a global case, COVID-19 has raised concerns from various circles. To overcome these problems, serious steps are needed, especially from the strategic level that plays an important role in formulating policies. This paper tries to describe the steps taken by the Indonesian government, especially the president as the top leader in handling the COVID-19 pandemic. The method used is qualitative description through references that cover various topics related to the COVID-19 pandemic, especially in terms of strategic decision making by government leaders. Adaptive leadership as a leader’s ability to deal with various challenges in the midst of conditions filled with uncertainty is very important. Decisions taken by the Indonesian government are based on various considerations, such as economic, geographical, cultural and sociological. The research findings show that in the implementation, the President of Indonesia has taken various concrete steps that have major implications on different sectors. This ultimately led the country to achieve success in dealing with the COVID-19 pandemic.

This study aims to identify the causes of delays in public construction projects in Thailand, a developing country. Increasing construction durations lead to higher costs, making it essential to pinpoint the causes of these delays. The research analyzed 30 public construction projects that encountered delays. Delay causes were categorized into four groups: contractor-related, client-related, supervisor-related, and external factors. A questionnaire was used to survey these causes, and the Relative Importance Index (RII) method was employed to prioritize them. The findings revealed that the primary cause of delays was contractor-related financial issues, such as cash flow problems, with an RII of 0.777 and a weighted value of 84.44%. The second most significant cause was labor issues, such as a shortage of workers during the harvest season or festivals, with an RII of 0.773. Additionally, various algorithms were used to compare the Relative Importance Index (RII) and four machine learning methods: Decision Tree (DT), Deep Learning, Neural Network, and Naïve Bayes. The Deep Learning model proved to be the most effective baseline model, achieving a 90.79% accuracy rate in identifying contractor-related financial issues as a cause of construction delays. This was followed by the Neural Network model, which had an accuracy rate of 90.26%. The Decision Tree model had an accuracy rate of 85.26%. The RII values ranged from 68.68% for the Naïve Bayes model to 77.70% for the highest RII model. The research results indicate that contractor financial liquidity and costs significantly impact construction operations, which public agencies must consider. Additionally, the availability of contractor labor is crucial for the continuity of projects. The accuracy and reliability of the data obtained using advanced data mining techniques demonstrate the effectiveness of these results. This can be efficiently utilized by stakeholders involved in construction projects in Thailand to enhance construction project management.

Public-private partnerships (PPPs) were established in Brazil at the beginning of this century, following a global trend of using these partnerships to stimulate investment in infrastructures, particularly in a framework of restrictive budgetary and fiscal conditions. Despite their growing importance and the expectation of an expanding role in the future, not much is known about the actual facts on the ground. The objective of this paper is to be a first step in the direction of filling this information gap by providing important stylized facts about the universe of PPPs in Brazil: the quantitative evolution of PPP adoptions; the characterization of the geographical distribution of PPPs by government level (federal, state, district, and municipal); the characterization of the PPP intervention areas, including the total value of contracts and the modalities of PPP concession (sponsored and administrative). This objective is rendered possible by the development of a new database that covers the entire process of PPP contracting from 2005 to 2022, including the opening of public consultation procedures, the publication of the official notice, and the signing of contracts, as well as multiple thematic, financial, jurisdictional, and regional indicators. In turn, we see the establishment of these stylized facts as a necessary first step in the direction of understanding the factors that may determine or condition their adoption. In general, having a clear picture of the universe of the PPPs in Brazil is fundamental as their use and their role are expected to significantly increase in the future as the country pursues a path of improved economic activity and well-being of the population.

This systematic literature review examines the convergence of entrepreneurship and information technology between 2005 and 2024. It investigates how the emergence of information technologies such as social networks, smart devices, big data, and cloud computing have transformed business operations and entrepreneurial approaches. The study use technologies such as Bibliometrix to analyze academic literature and identify research trends, knowledge structures, and their evolutionary routes. During the specified time frame, a grand total of 292 articles were published by 777 writers. These publications have played a key role in redirecting academic focus from traditional entrepreneurship to the field of digital entrepreneurship and the applications of information technology. A thematic analysis uncovers a shift from theoretical investigation to practical implementations and multidisciplinary research, while a co-citation analysis highlights important contributors and influential works. This study emphasizes the crucial importance of information technology in influencing entrepreneurial behaviors and strategic business decisions. It also offers valuable insights for future research and entrepreneurial practice in the information age.