ARTIFICIAL INTELLIGENCE, BIG DATA AND IoT IN CIRCULAR ECONOMY: RESEARCH TRENDS AND PERSPECTIVES
Ivana Marković & Mirjana Jemović
What the paper says
The transition to a sustainable and regenerative model of the economy the circular economy advocates relies on digitization and innovation that should help and support long-term sustainability. AI is a key technology that can support a smooth transition to a circular economy. At the same time, the Internet of Things is the main driver of process integration with other technologies, while Big Data plays an important role in the process of effective decision-making. Therefore, it is not surprising that research on the contemporary technologies in the circular economy attracts enormous attention of both the academic and professional community and that the number of publications in this field is increasing rapidly. In this paper, VOSviewer is used to discover research trends and provide a comprehensive and integrated approach to research on the role of artificial intelligence, big data and IoT as drivers of the circular economy.
4 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.71 × 0.4 = 0.28 |
| M · momentum | 0.60 × 0.15 = 0.09 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.