Decision Support Systems (DSS) is a leading scholarly journal focused on exploring the design, development, and evaluation of computer-based systems that aid decision-making in a wide array of organizational and societal contexts. The journal provides a crucial platform for researchers and practitioners to share innovative approaches and empirical findings related to how technology can improve the quality and efficiency of decision processes.
DSS covers a broad range of topics, including data mining, machine learning, expert systems, information systems, and human-computer interaction, specifically as they apply to supporting and enhancing decision-making. This interdisciplinary focus makes it valuable to information systems professionals, managers, academics, and anyone interested in the intersection of technology and decision processes. Indexed in Scopus and other indexing databases.
Advance the field of decision support by submitting your insightful research to Decision Support Systems. Explore how technological advancements can better inform and improve decision outcomes in various domains. Guidelines and submission details are available on the journal's website.