International Journal of Scientific Research and Engineering Development

International Journal of Scientific Research and Engineering Development


( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175

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📑 Paper Information
📑 Paper Title AI-Powered Decision Support Systems for Sustainable Organizations
👤 Authors Md. Mahrima Akter Mim, Md Murad Sharif, Florina Rahman, Shamsun Nahar
📘 Published Issue Volume 9 Issue 1
📅 Year of Publication 2026
🆔 Unique Identification Number IJSRED-V9I1P52
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📝 Abstract
Sustainability has emerged as a central strategic priority for organizations due to rising environmental challenges, stricter regulations, and increasing expectations from stakeholders. Achieving sustainability, however, requires complex decision making that involves balancing economic performance, environmental responsibility, and social impact. These decisions are often characterized by large volumes of heterogeneous data, uncertainty, and rapidly changing operational conditions. Traditional decision support systems (DSS) are limited in their ability to process such data effectively and lack the adaptability required for dynamic sustainability oriented decision environments. This paper proposes an Artificial Intelligence powered Decision Support System (AI-DSS) designed to enhance sustainable decision making within organizations. The proposed framework integrates machine learning algorithms, advanced data analytics, and intelligent optimization techniques to support predictive, prescriptive, and adaptive decision processes. By analyzing historical and real time data, the system identifies patterns, forecasts sustainability outcomes, and recommends optimal strategies aligned with organizational sustainability goals. The framework simultaneously addresses environmental efficiency, economic viability, and social responsibility, enabling a holistic approach to sustainability management. A conceptual evaluation of the proposed AI-DSS indicates significant improvements over conventional DSS in terms of decision accuracy, responsiveness, and scalability. The intelligent learning capability allows the system to adapt continuously to changing conditions and evolving sustainability requirements. Overall, the proposed approach demonstrates strong potential to support organizations in achieving long term sustainable performance and informed strategic decision making in complex operational environments.
📝 How to Cite
Md. Mahrima Akter Mim, Md Murad Sharif, Florina Rahman, Shamsun Nahar,"AI-Powered Decision Support Systems for Sustainable Organizations" International Journal of Scientific Research and Engineering Development, V9(1): Page(423-434) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.