Theory and Research Concerning the Circular Economy Model and Future Trend

The aim of this study is to draw attention to Circular Economy (CE) approach, to address a future trend and to create a compilation of some important CE studies. In this context, we provide information to guide businesses in the transition to CE and to provide ideas for future studies. This study examines some studies about the concept, structure, principles, business models, benefits, and barriers of CE implementation, moreover differences between Linear Economy (LE) and CE. The failure to solve problems such as climate change, loss of biodiversity, overpopulation, and resource scarcity in the current LE Model has shown that sustainable economy models can be a successful solution. Artificial intelligence (AI), on the other hand, is an emerging technology with enormous potential to impact CE. The use of AI in integrating the Circular Economy into product lifecycle processes was investigated. This study collects many studies examining CE from different perspectives in a single study and also shows the usability areas of AI in applying CE in production. Another contribution of this study to the literature is, proposing the use of AI regarding CE’s the 9R framework. This study has shown that, through artificial intelligence, the stated barriers to the transition to the circular economy can be removed or reduced. By using the business models outlined in the study, using Artificial Intelligence and implementing CE strategies, the stated benefits of the circular economy can begin to be achieved. The study guides the implementation of the CE concept.