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Uncovering Research Trends: A Textual Analysis of AI Applications in Circular Economy under an Industry 5.0 Paradigm

Author

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  • Morteza Alaeddini

    (AUT - Amirkabir University of Technology, UGA - Université Grenoble Alpes, CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes, ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Sabrine Mallek

    (ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Sarah Hönigsberg

    (ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

Abstract

Despite the recognized potential of AI in promoting CE within I5.0, there is a notable gap in the literature regarding a comprehensive analysis of current research trends and thematic developments at this intersection (Payer et al., 2024). Existing studies often focus on isolated applications of AI in CE or discuss I4.0/5.0 principles without delving into the synergistic effects of their integration. This fragmentation underscores the need for a holistic examination to identify dominant themes, emerging topics, and critical gaps in the research landscape (e.g., Tutore et al. ( 2024)).To address this gap, our study investigates the following research questions: a) What are the dominant research themes at the intersection of AI, CE, and I5.0? b) What emerging topics are gaining traction in this multidisciplinary field? c) What critical gaps exist in the current literature, and how can future research address them?The convergence of artificial intelligence (AI), the circular economy (CE), and Industry 5.0 (I5.0) represents a pivotal shift toward sustainable and human-centric industrial practices. AI's capabilities in data analytics and predictive modeling are instrumental in optimizing resource utilization, minimizing waste, and enhancing supply chain resilience, thereby advancing CE objectives (Akinode and Oloruntoba, 2020). Within the I5.0 framework, which emphasizes humancentricity, sustainability, and resilience (Leng et al., 2022), AI facilitates the integration of intelligent systems with human creativity, fostering innovative solutions to complex environmental challenges (Platon et al., 2024).Employing advanced text mining and natural language processing techniques, we analyze the titles, keywords, and abstracts of 422 scholarly articles indexed in the Web of Science (WoS) database. Our findings reveal key applications of AI that enhance CE practices within the I5.0 paradigm, including supply chain resilience, waste management, and sustainable manufacturing. Notably, the analysis highlights the growing importance of Industry 4.0 and big data analytics as research hotspots, as well as the integration of AI-driven technologies into CE innovations.

Suggested Citation

  • Morteza Alaeddini & Sabrine Mallek & Sarah Hönigsberg, 2025. "Uncovering Research Trends: A Textual Analysis of AI Applications in Circular Economy under an Industry 5.0 Paradigm," Post-Print hal-05287321, HAL.
    • Handle: RePEc:hal:journl:hal-05287321
    DOI: 10.1016/j.ifacol.2025.09.038
    Note: View the original document on HAL open archive server: https://hal.science/hal-05287321v1
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    References listed on IDEAS

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    1. Sudusinghe, Jayani Ishara & Seuring, Stefan, 2022. "Supply chain collaboration and sustainability performance in circular economy: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 245(C).
    2. Hermann, Roberto Rivas & Pansera, Mario & Nogueira, Leticia Antunes & Monteiro, Marko, 2022. "Socio-technical imaginaries of a circular economy in governmental discourse and among science, technology, and innovation actors: A Norwegian case study," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Kirchherr, Julian & Reike, Denise & Hekkert, Marko, 2017. "Conceptualizing the circular economy: An analysis of 114 definitions," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 221-232.
    4. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    5. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    6. Ilaria Tutore & Adele Parmentola & Michele Costagliola di Fiore & Francesco Calza, 2024. "A conceptual model of artificial intelligence effects on circular economy actions," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4772-4782, September.
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