Research evidence for reshaping global energy strategy based on trend-based approach of big data analytics in the corona era

This study is designed to discover current energy-related research trends as evidence inherent in big data and obtain future agendas and new insights to reshape global energy strategy considering environmental change globally in the era of COVID-19. To this end, vast amounts of unstructured text data on energy demand from 4 top journals in the energy field over the past year (2020-2021) were collected. This study used a semantic network analysis in big data analytics. As a result, this study obviously shows that research evidence on traditional energy sources such as fossil fuels and gas is still essential in the current situation where climate change and global warming are intensifying worldwide. Simultaneously, research on renewable energy is positioned as a critical agenda by providing sufficient evidence to draw practical implications concerning overall global energy companies' strategy and each government's new energy policy in line with the rapid changes in the global environment. Consequently, this study proposes that a decision-maker or leader can exert the remarkable power of reshaping global energy strategy for future sustainability, taking into account the recognizable trends inherent in big data.