Decision Support Systems

DECISION SUPPORT SYSTEMS (abbreviated as DECIS SUPPORT SYST, ISSN 0167-9236) is a leading international peer-reviewed journal dedicated to the theoretical and practical advancement of decision support technology. Published by Elsevier, the journal serves as a premier forum for the dissemination of original research on the design, development, implementation, and evaluation of decision support systems and their underlying technologies. Its scope encompasses a broad range of topics, including but not limited to decision modeling, knowledge management, business intelligence, data analytics, collaborative decision-making, and the application of artificial intelligence and machine learning in organizational decision processes. The journal primarily publishes high-quality research articles, with occasional review papers and case studies that offer significant theoretical contributions or empirical validation. The target audience includes academics, researchers, and practitioners in information systems, computer science, operations research, and management science, as well as professionals involved in developing and deploying decision support tools in business and government. A notable feature of the journal is its open access publishing option, allowing authors to make their work freely available. As of 2026, DECISION SUPPORT SYSTEMS holds an impressive Impact Factor of 7.5000 and is ranked in the JCR Q1 quartile, solidifying its status as one of the most influential and highly cited journals in its field. This exceptional standing underscores its critical role in shaping the discourse on technological support for complex decision-making and its strong reputation for publishing rigorous, impactful scholarship.