Abstract

The use of green hydrogen is rapidly transforming the energy market, opening new markets and business models while positively impacting the creation of sustainable supply chains. This eco-friendly alternative offers numerous advantages, such as reducing carbon footprint, increasing social and knowledge engagement, and providing new revenue streams for energy companies. As a result, many countries are debating how to integrate green hydrogen as a new renewable energy source into their national energy mix. Despite these debates, there is still uncertainty about how sustainable supply chains can optimize the availability of green hydrogen to customers. To tack-le this issue, a literature review will be carried out using natural language processing. The study aims to identify the current state of research at the intersection of green hydrogen and supply chains by leveraging Latent Dirichlet Allocation (LDA) algorithm. The study will shed light on renewable energy development in emerging countries, generating novel insights for future research in the field. The study's results will help companies make in-formed decisions about their investments in sustainable hydrogen supply chains.