Adequate sanitation is crucial for human health and well-being, yet billions worldwide lack access to basic facilities. This comprehensive review examines the emerging field of intelligent sanitation systems, which leverage Internet of Things (IoT) and advanced Artificial Intelligence (AI) technologies to address global sanitation challenges. The existing intelligent sanitation systems and applications is still in their early stages, marked by inconsistencies and gaps. The paper consolidates fragmented research from both academic and industrial perspectives based on PRISMA protocol, exploring the historical development, current state, and future potential of intelligent sanitation solutions. The assessment of existing intelligent sanitation systems focuses on system detection, health monitoring, and AI enhancement. The paper examines how IoT-enabled data collection and AI-driven analytics can optimize sanitation facility performance, predict system failures, detect health risks, and inform decision-making for sanitation improvements. By synthesizing existing research, identifying knowledge gaps, and discussing opportunities and challenges, this review provides valuable insights for practitioners, academics, engineers, policymakers, and other stakeholders. It offers a foundation for understanding how advanced IoT and AI techniques can enhance the efficiency, sustainability, and safety of the sanitation industry.

E-cigarettes pose a significant public health concern, particularly for youth and young adults. Policymaking in this area is complicated by changing consumption patterns, diverse user demographics, and dynamic online and offline communities. This study uses social network analytics to examine the social dynamics and communication patterns related to e-cigarette use. We analyzed data from various social media platforms, forums, and online communities, which included both advocacy for e-cigarettes as a safer smoking alternative and opposition due to health risks. Our findings inform targeted healthcare policy interventions, such as educational campaigns tailored to specific network clusters, regulations based on user interaction and influence patterns, and collaborations with key influencers to spread accurate health information.

The article reveals the problems of the transition to a “green” economy based on sustainable technological changes, which are caused by global ecological pollution of the ecosystem, which leads to warming and ecological changes and the insufficiency of the natural resource potential to meet the needs of the population of the planet, which does not contribute to development. The essence of the study is to determine the impact of a green economy on economic growth and development, in which natural assets continue to provide resources and environmental services. It is shown that the green economy provides a practical and flexible approach to achieving concrete, measurable progress in all its economic and environmental principles, while at the same time fully taking into account the social consequences of greening the dynamics of economic growth. Green economy strategies aim to ensure that natural assets can fully realize their economic potential in a sustainable manner. This potential includes the provision of vital life support services—clean air and water, as well as the sustainable biodiversity needed to support food production and human health. Natural assets cannot be replaced indefinitely, so the policy of the green economy should take this into account. It is characterized that the green economy provides a practical and flexible approach to achieving concrete, measurable progress in all its economic and environmental principles, while at the same time fully taking into account the social consequences of greening the dynamics of economic growth. The problems of the post-war revival of Ukraine’s economy are systematized and proposals for their solution are substantiated, which is the scientific contribution of the authors to the coverage of this problem. The global problems of the transition to a green economy, which are closely related to Ukrainian realities, are revealed. The practical content is determined by the fact that the theoretical and methodological provisions, conclusions and scientific and practical recommendations constitute the scientific basis for the development of a new holistic concept of the development of the green economy of Ukraine. The conclusions that it is the “green” economy that is able to most closely link the ecological and economic aspects of the national economy, acting as a key direction for ensuring the sustainable “green” development of the region and the state as a whole, actualize the prospects of creating a green economy in Ukraine and become necessary and quite achievable in the post-war period.

The increasing demand for electricity and the need to reduce carbon emissions have made optimizing energy usage and promoting sustainability critical in the modern economy. This research paper explores the design and implementation of an Intelligent-Electricity Consumption and Billing Information System (IEBCIS), focusing on its role in addressing electricity sustainability challenges. Using the Design Science Research (DSR) methodology, the system's architecture collects, analyses, and visualizes electricity usage data, providing users with valuable insights into their consumption patterns. The research involved developing and validating the IEBCIS prototype, with results demonstrating enhanced real-time monitoring, load shedding schedules, and billing information. These results were validated through user testing and feedback, contributing to the scientific knowledge of intelligent energy management systems. The contributions of this research include the development of a framework for intelligent energy management and the integration of data-driven insights to optimize electricity consumption, reduce costs, and promote sustainable energy use. This research was conducted over a time scope of two years (24 months) and entails design, development, pilot test implementation and validation phases.

ESG (environmental, social and governance, a framework used to assess an organisation’s business practices and performance on various sustainability and ethical issues) and Digital Transformation (the process of using digital technologies to change a business’s operations, products and services by integrating digital solutions into all areas of the business, which can lead to cultural and technological changes) are emerging issues across different industries, including the banking field. There has been limited research focusing on exploring the linkages between ESG, Digital Transformation and Customer Behaviour in the banking area, especially within developing countries such as Vietnam. Based on this gap, this study analyses and assesses the role of Digital Transformation and ESG on customer behaviour towards brands in the banking sector in Ho Chi Minh City. The research employed the quantitative research methods with the combination of fundamental analytical methods such as statistics, Cronbach’s alpha reliability, Exploratory Factor Analysis (EFA), measurement models and Partial Least Squares Structural Equation Modelling (PLS-SEM). The analysis was based on survey data from 550 customers who are the commercial banks’ current customers and live in Ho Chi Minh City, yielding 514 valid responses. Using SPSS and SMART PLS software, the study provided notable results. Specifically: (1) The component factors of ESG, including Environmental Issues (EN), Social Issues (SO), Government Issues (GO) and Digital Transformation (DT), positively influence Customer Behaviour (CB); (2) The component factors of ESG, including Environmental Issues (EN), Social Issues (SO) and Government Issues (GO), play a mediating role in the relationship between Digital Transformation (DT) and Customer Behaviour (CB).