Decision Support Systems - Impact Factor

Decision Support Systems | 2024 Impact Factor:6.8 | Cite Score:13.5 | Q1

Impact Factor and Journal Rank of Decision Support Systems

About: Decision Support Systems is a peer-reviewed journal dedicated to publishing high-quality research articles, reviews, and technical notes on the development, implementation, and evaluation of decision support systems. It serves as a platform for researchers, practitioners, and professionals to share their insights and advancements in the field.
Objective: The primary objective of DSS is to advance the understanding and application of decision support systems by publishing innovative research that explores new methodologies, models, and technologies. The journal aims to bridge the gap between theory and practice, providing valuable insights that enhance decision-making processes in various sectors.
Interdisciplinary Focus: DSS is inherently interdisciplinary, welcoming contributions from a variety of fields including but not limited to, Computer Science, Information Systems, Operations Research, Management Science, Artificial Intelligence, Data Science, Business Analytics, Engineering Healthcare and Environmental Science. This broad scope encourages the integration of diverse methodologies and perspectives, promoting innovative solutions and a comprehensive understanding of decision support systems across different domains.
Global Reach and Impact: The journal has a significant international readership and author base, ensuring that its content reflects global advancements and diverse perspectives in decision support systems. By publishing cutting-edge research from around the world, DSS contributes to the global dialogue on decision support technologies, influencing both academic research and practical applications.
High Standards and Rigorous Review: DSS maintains high academic standards through a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the relevant fields to ensure the accuracy, originality, and scientific significance of the research. This rigorous review process ensures that only high-impact and high-quality research is published, maintaining the journal integrity and reputation.
Significance: The significance of DSS lies in its role as a leading source of knowledge and innovation in the field of decision support systems. The journal contributions help shape the future of decision support technologies, driving advancements in methodologies, models, and applications. DSS serves as an essential resource for researchers, practitioners, and professionals working to enhance decision-making processes through the use of decision support systems.

Journal Home: Journal Homepage

Editor-in-Chief: Andrew N. K. Chen

Scope: The Decision Support Systems Journal typically focuses on a wide range of topics related to decision support systems (DSS) and their applications.
Some key focus areas and scope of the journal may include:
Theory and Methodology: Discussions on the theoretical foundations and methodological approaches to designing, developing, and evaluating decision support systems.
Modeling and Simulation: Research on modeling techniques, simulation methods, and algorithm development for decision support systems.
Data Analytics and Business Intelligence: Exploration of data mining, machine learning, and other analytics techniques for extracting insights and supporting decision-making processes.
Information Systems and Technology: Examination of information technologies, including databases, knowledge management systems, and expert systems, that underpin decision support systems.
Human-Computer Interaction: Investigations into user interfaces, usability, and human factors in the design and implementation of decision support systems.
Organizational Decision Making: Studies on the organizational context of decision-making processes, including group decision support systems and collaborative decision-making environments.
Applications and Case Studies: Reports on real-world applications, case studies, and best practices of decision support systems across various domains such as healthcare, finance, marketing, supply chain management, and environmental management.
Ethical and Social Implications: Consideration of ethical, legal, and social implications of decision support systems, including issues related to privacy, fairness, accountability, and transparency.
Emerging Technologies: Exploration of emerging technologies and trends that have the potential to transform decision support systems, such as artificial intelligence, big data analytics, blockchain, and the Internet of Things (IoT).
Interdisciplinary Perspectives: Integration of insights and approaches from diverse disciplines such as computer science, information systems, management science, operations research, psychology, and sociology to advance the field of decision support systems.