Due to the complexity of building supply chain resilience (SCR) towards long-term environmental sustainability amendments, the use of emerging technologies such as Blockchain Technology (BCT) can be adopted as an innovative tool to enhance the sustainability and resilience of supply chains, especially in uncertain environments. Drawing on the Knowledge-Based View (KBV) and Dynamic Capability View (DCV), this research aims to demonstrate how the adoption of BCT can enhance the environmental supply chain performance…

<abstract><p>As the Internet of Things (IoT) is considered the foundation of digital transformation in everyday life, the Industrial IoT (IIoT) is considered its business counterpart. Together with the Physical Internet (PhI), they represent the foundation of smart production and logistics as part of the new digitized Society 5.0. Smart grids of different kinds with applications, ranging from power distribution to transportation, represent the infrastructure of smart cities and communities. Like with t…

Abstract Background and Purpose Quality within a healthcare system does not comprise only actions defined through certificates or required by law, standards and protocols; it is also defined by the well-being of healthcare workers on the one hand and patients on the other. The purpose paper is to analyse the link between the engagement of nurses and factors related to enhancing patient quality and safety. Methods The research involved 206 nursing employees from Slovenia’s general hospitals. The questionnaire consi…

The sudden emergence of COVID-19 and the declaration of a pandemic in the year 2020 has significantly impacted all factors of the economy, including international trade of goods. International freight transport (road, rail, air, and maritime) was also affected. The research analyses the changes in the implementation of international freight transport during the COVID-19 pandemic in EU countries. The main research question was: How did the COVID-19 pandemic impact international freight transport in Slovenia and sel…

Abstract Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and plays a crucial role in electric capacity scheduling and power systems management and, therefore, it has attracted increasing academic interest. Hence, the accuracy of electric load forecasting has great importance for energy generating capacity scheduling and power system management. This paper presents a review of forecasting methods and models for electricity load. About 45 academic papers have been used …