Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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"Exploring the Role of AI-Driven Green Technologies in Advancing the Circular Economy: Insights from Oman’s Sustainable Development Initiatives"

Authors
Shanmuga Pria1, *
1Faculty, University of Technology and Applied Science, Sultanate of Oman, Sultanate, Oman
*Corresponding author. Email: Shanmuga.Pria@utas.edu.om
Corresponding Author
Shanmuga Pria
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_70How to use a DOI?
Keywords
Artificial Intelligence; Circular Economy; Green Technology; Sustainability; Topic Modeling; Oman
Abstract

This study investigates how Artificial Intelligence (AI) supports the integration of green technologies to advance the circular economy (CE), with a focus on Oman’s sustainable development initiatives under Vision 2040. A systematic literature review (SLR) covering 312 peer-reviewed studies (2018–2023) was conducted, followed by topic modeling using Latent Dirichlet Allocation (LDA), LDAVis, and Multidimensional Scaling (MDS). Eleven thematic clusters were identified, including AI in manufacturing, supply chain intelligence, sustainable energy, and green engineering transitions. The LDA model highlighted interdisciplinary links, while MDS visualization mapped topic proximity and revealed emerging research directions.

Findings demonstrate AI’s role as a core enabler of eco-innovation, resource efficiency, and waste reduction, aligning with Oman’s sustainability goals. The study contributes methodologically by combining SLR, topic modeling, and visualization tools, and substantively by contextualizing results for a developing economy. Policy implications emphasize the need for AI-driven innovation, capacity building, and supportive regulatory frameworks. Limitations include SLR bias and region-specific focus, suggesting the need for empirical validation and comparative regional studies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_70How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shanmuga Pria
PY  - 2026
DA  - 2026/01/06
TI  - "Exploring the Role of AI-Driven Green Technologies in Advancing the Circular Economy: Insights from Oman’s Sustainable Development Initiatives"
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 1026
EP  - 1040
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_70
DO  - 10.2991/978-94-6463-948-3_70
ID  - Pria2026
ER  -