Artificial Intelligence Applications for Cleaner Production and Sustainable Development in Southeast Asia: A Systematic Review and Future Research Directions
Technologies, (2026), Vol. 14, No. 3, pp. 182
Unknown User
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Unknown User
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Alexander A. Hernandez
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Unknown User
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Unknown User
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Ace C. Lagman
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a Sustainability in Project and Technology Management Laboratory, Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan
b College of Computer Studies and Multimedia Arts, FEU Institute of Technology, Manila 1015, Philippines
c School of Innovation and Sustainability, De La Salle University, Biñan 4024, Philippines
d Department of Industrial and Systems Engineering, De La Salle University, Manila 1004, Philippines
e Faculty of Electronics Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh 700000, Vietnam
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.