Artificial Intelligence in the Development of Eco-innovations

This research delves into the contemporary utilization of Artificial Intelligence (AI) in the realm of eco-innovation. Its primary objective is to bridge the knowledge gap regarding the various avenues through which AI can serve as a transformative tool, either by evolving conventional products into eco-innovations or by conceiving entirely novel eco-innovative products. Leveraging the conventional innovation typology of product innovation, this study focuses on elucidating the intricate relationship between AI and eco-innovation. To address this informational void, a comprehensive bibliometric analysis was conducted, culminating in the identification of 59 relevant publications from the Scopus database. The findings highlight emerging and under-explored themes, including smart circular economy, Sustainable Development, The Role of AI in Eco-innovation Development, and AI in Sustainable Supply Chain Management. The theoretical implications of this research are elucidated in the discussion section, wherein we present a structured categorization of potential pathways for the integration of AI in the eco-innovation landscape. Furthermore, the practical implications of this study offer valuable insights for innovators seeking to infuse sustainability and ecological elements into their product development processes. By harnessing the power of AI, they can pivot their traditional product portfolios toward eco-innovation, thereby contributing to a more sustainable and environmentally conscious future.