Artificial Intelligence Applications for Cleaner Production and Sustainable Development in Southeast Asia: A Systematic Review and Future Research Directions

Artificial intelligence (AI) has reshaped various aspects of human lives, particularly through its capabilities to address complex sustainability challenges. Despite the rapid expansion of AI applications, their contribution to cleaner production and sustainable development remains underexplored, especially in developing nations. In Southeast Asia (SEA), where AI adoption has grown substantially across environmental, economic, and social dimensions, research that examines its role in cleaner production outcomes remains fragmented. In view of this gap, this study conducts a systematic literature review (SLR) of AI applications related to cleaner production and sustainable development by examining relevant themes, application areas, and sustainability dimensions addressed by AI, while evaluating the maturity of AI methodologies, alignment with cleaner production outcomes, and integration with circular economy and resource efficiency goals. Moreover, it investigates the barriers and challenges that constrain AI application and offers future research directions to advance AI deployment for cleaner production and sustainable development across SEA countries.

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Publication Details

Journal
Technologies
Published
2026-03-17
DOI
https://doi.org/10.3390/technologies14030182
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Applications for Cleaner Production and Sustainable Development in Southeast Asia: A Systematic Review and Future Research Directions

Charmine Sheena Saflor, Victor James C. Escolano, Ace C. Lagman, Yann-Mey Yee et al.
Technologies
Environmental Sustainability in Business
article

Artificial Intelligence Applications for Cleaner Production and Sustainable Development in Southeast Asia: A Systematic Review and Future Research Directions

Charmine Sheena Saflor, Victor James C. Escolano, Ace C. Lagman, Yann-Mey Yee, Alexander A. Hernandez, Do Van Nang
article en

Abstract

Artificial intelligence (AI) has reshaped various aspects of human lives, particularly through its capabilities to address complex sustainability challenges. Despite the rapid expansion of AI applications, their contribution to cleaner production and sustainable development remains underexplored, especially in developing nations. In Southeast Asia (SEA), where AI adoption has grown substantially across environmental, economic, and social dimensions, research that examines its role in cleaner production outcomes remains fragmented. In view of this gap, this study conducts a systematic literature review (SLR) of AI applications related to cleaner production and sustainable development by examining relevant themes, application areas, and sustainability dimensions addressed by AI, while evaluating the maturity of AI methodologies, alignment with cleaner production outcomes, and integration with circular economy and resource efficiency goals. Moreover, it investigates the barriers and challenges that constrain AI application and offers future research directions to advance AI deployment for cleaner production and sustainable development across SEA countries.

TechnologiesVol. 14(3)
Chung Yuan Christian University (TW), Industrial University of Ho Chi Minh City (VN), Far Eastern University (PH), De La Salle University (PH)
Openalex Percentile: Top 16%
Environmental Sustainability in Business
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Artificial Intelligence Applications for Cleaner Production and Sustainable Development in Southeast Asia: A Systematic Review and Future Research Directions — Charmine Sheena Saflor, Victor James C. Escolano, et al. · Technologies (2026) | TGRS Research Map | TGRS