This review synthesizes the state of the art on the integration of digital technologies, particularly machine learning, the Internet of Things (IoT), and advanced image processing techniques, for enhanced hazard monitoring. Focusing on air pollution, earthquakes, floods, and fires, we analyze articles selected from Scopus published between 2015 and 2024. This study classifies the selected articles based on hazard type, digital technology application, geographical location, and research methodology. We assess the effectiveness of various approaches in improving the accuracy and efficiency of hazard detection, monitoring, and prediction. The review highlights the growing trend of leveraging multi-sensor data fusion, deep learning models, and IoT-enabled systems for real-time monitoring and early warning. Furthermore, we identify key challenges and future directions in the development of robust and scalable hazard monitoring systems, emphasizing the importance of data-driven solutions for sustainable environmental management and disaster resilience.

Purpose of the article: The aim of the article is to identify the relationships between digital transformation, remote work, attitudes toward artificial intelligence, and entrepreneurial intention among students and young adults. The article focuses on digital competencies, self-discipline, well-being, and technostress as variables associated with entrepreneurial intention under conditions of dynamic technological change. Methodology/methods: The study was quantitative in nature and was conducted using the diagnostic survey method with the questionnaire technique. The research tool was an original questionnaire based on a five-point Likert scale. A total of 157 respondents participated in the study. The analysis covered indices relating to the frequency and effectiveness of remote work, digital competencies, optimism toward artificial intelligence, self-discipline, technostress, well-being, and entrepreneurial intention. Descriptive statistics and Pearson’s linear correlation coefficient were used to analyze the results. Scientific aim: The scientific aim of the article was to identify whether, and to what extent, selected technological and psychosocial resources are associated with the level of entrepreneurial intention among the respondents. Particular attention was paid to assessing the importance of digital competencies and attitudes toward artificial intelligence as variables associated with entrepreneurial intention in the digital environment. Findings: The results showed that the strongest positive correlation with entrepreneurial intention was observed for digital competencies (r = 0.48; p < 0.001). Significant positive relationships were also found between entrepreneurial intention and optimism toward artificial intelligence (r = 0.39; p < 0.001), remote work effectiveness (r = 0.34; p < 0.001), self-discipline (r = 0.31; p < 0.001), and well-being (r = 0.27; p = 0.001). Technostress was negatively correlated with entrepreneurial intention (r = -0.29; p < 0.001). Conclusions (limits, implications etc.): The obtained results indicate that entrepreneurial intention in the digital era is associated both with technological competencies and with an individual’s psychosocial resources. Of particular importance are the development of digital competencies, a positive attitude toward new technologies, and the reduction of technostress. A limitation of the study is the purposive sampling method and the use of self-reported data, which makes full generalization of the findings difficult. The practical dimension of the article is related to the need to adapt educational programs to the requirements of digital transformation and to support digital entrepreneurship in the academic environment.

"Purpose of the article: The purpose of this article is to present innovative solutions for contemporary education, which still relies on foundations established nearly 200 years ago. These foundations emerged in a context where human beings were understood differently than today, and humanism functioned largely as rhetoric. The paper aims to emphasize the urgent need to transform the educational system by integrating long-standing experience with the technological possibilities of the 21st century. Additionally, the authors conducted research to identify the key factors shaping entrepreneurial behaviors among the respondents. Methodology/methods: A mixed approach was employed, combining quantitative analysis with a literature review. The empirical part utilized a probit model to estimate the probability of specific phenomena occurring. Simultaneously, a review of the scientific literature on entrepreneurial intentions was carried out, with particular attention to the role of family environment, prior exposure to economic activities, and psychological factors, enabling deeper interpretation of the obtained results. Scientific aim: To demonstrate that entrepreneurs can be educated. The authors also propose an alternative pathway for developing contemporary education through the use of modern technology - bridging modernity and tradition - to provide young people with a genuine choice between becoming employees or employers. Findings: The authors highlight the threat of declining IQ levels and regression of scientific thought in developed countries, as well as the issue of an outdated educational system that aims at producing graduates - workers rather than creators and innovators - which is incompatible with the contemporary world built on humanistic values. Conclusions: The research proved that future entrepreneurs could be identified as early as adolescence. Significant factors include individual actions, assumptions, and life plans, as well as upbringing - since children from entrepreneurial families more frequently express the desire to establish their own businesses.