Renewable Energy Supply Chains—Text Mining and Co-Occurrence Analysis in the Context of the Sustainability

Abstract

The topic of this study is energy supply chains in the context of sustainable development. The analysis is based on bilateral analysis methodology using the knowledge map visualization tool VoS Viewer and performance analysis. The aim is to investigate whether and to what extent there is interest in the research topic of renewable energy supply chains in the context of sustainability. An analysis of keyword associations, indexes, authors, and places of publication gives an overview of the current state of research in this area. It is valuable and new from the point of view of contributing to the development of the discipline to show the broad spectrum of terms and research topics related to the operation, management, and improvement of energy supply chains. The sustainability context also offers new possibilities for interpretation and application of other management tools in selected chains. Co-dependency and co-occurrence analysis and text mining provide an excellent background for further research in this area. At the same time, it allows data to be refined for further analysis and will provide an excellent starting point for further work in this area.