Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

This study examines whether there is convergence in eco-innovation by comparing the circular economy practices of European Union Member States. The European Union Member States’ eco-innovation initiatives in the circular economy are the foundation for their interpretation of their relative efficiencies. In 2015, the European Commission granted sanction to the Circular Economy Package, in accordance with the European Union’s (EU) objective of transitioning to a low-carbon economy that is competitive, resource-efficient, and environmentally sustainable. This compilation includes legislative proposals and a comprehensive action plan for refuse management. Subsequently, in January 2018, additional measures were implemented to guarantee the successful implementation of the action plan. Concurrently, numerous European Union Member States implemented substantial strategies to facilitate this transition. The current systematic literature review is conducted using the “SALSA method”, which commences with a scoping search, progresses to an evaluation, and concludes with synthesis and analysis. Its purpose was to elucidate the circular economy practices and eco-innovation activities in the European Union. The objective of this assessment is to provide a concise overview of the most recent developments and initiatives that have been implemented in the European Union since the Circular Economy Package was adopted. Furthermore, it will evaluate the strategies implemented by particular Member States in this context. Methods of scientific literature analysis, including systematic, comparative, content analysis, grouping, comparison, SALSA, and TOPSIS methods, are used in this study.

The evaluation of remote sensing imagery segmentation results plays an important role in the further image analysis and decision-making. The search for the optimal segmentation method for a particular data set and the suitability of segmentation results for the use in satellite image classification are examples where the proper image segmentation quality assessment can affect the quality of the final result. There is no extensive research related to the assessment of the segmentation effectiveness of the images. The designed objective quality assessment metrics that can be used to assess the quality of the obtained segmentation results usually take into account the subjective features of the human visual system (HVS). A novel approach is used in the article to estimate the effectiveness of satellite image segmentation by relating and determining the correlation between subjective and objective segmentation quality metrics. Pearson’s and Spearman’s correlation was used for satellite images after applying a k-means++ clustering algorithm based on colour information. Simultaneously, the dataset of the satellite images with ground truth (GT) based on the “DeepGlobe Land Cover Classification Challenge” dataset was constructed for testing three classes of quality metrics for satellite image segmentation.

Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies

Two mainstream topics have been widely discussed over the past few years: ways to reduce the human impact on nature and the way that the industrial revolution 4.0 changes industries. The aim of this research topic is to analyse the positive and negative factors of big data implementation in the sector of cryptocurrency (as part of the industrial revolution 4.0) and in the sector of municipal waste management. The analysis reveals the differences and similarities between the cryptocurrency and municipal waste management sectors in the context of big data. The findings are significant for the estimation of the technological development of digitalized and non-digitalized sectors.

Entrepreneurship and Sustainability Issues is a peer-reviewed journal which publishes original research papers and case studies