Journal Information
Decision Support Systems (DSS)
http://www.journals.elsevier.com/decision-support-systems/
Impact Factor:
3.847
Publisher:
Elsevier
ISSN:
0167-9236
Viewed:
7038
Tracked:
8

Call For Papers
Decision Support Systems welcomes contributions on the concepts and operational basis for DSSs, techniques for implementing and evaluating DSSs, DSS experiences, and related studies. In treating DSS topics, manuscripts may delve into, draw-on, or expand such diverse areas as artificial intelligence, cognitive science, computer supported cooperative work, data base management, decision theory, economics, linguistics, management science, mathematical modeling, operations management psychology, user interface management systems, and others. The common thread of articles published in the journal will be their relevance to theoretical, technical DSS issues.

Authors planning to submit papers to the journal should ensure that their work is relevant to the topics normally considered to be part of the field of decision support systems.

The Journal's research papers tend to fall into the following six topic departments:

1. DSS Foundations e.g. DSS principles, concepts, and theories; frameworks, formal languages, and methods for DSS research; tutorials about the nature of DSS; assessments of the DSS field.

2. DSS Development-Functionality e.g. methods, tools, and techniques for developing the underlying functional aspects of a DSS; solver/model management; data management in DSSs; rule management and AI in DSSs; coordinating a DSS's functionality within its user interface.

3. DSS Development-Interfaces e.g. methods, tools, and techniques for developing the overt user interface of a DSS; managing linguistic, presentation, and user knowledge in a DSS; DSS help facilities; coordinating a DSS's interface events with its functionality events.

4. DSS Impacts and Evaluation e.g. DSS economics; DSS measurement; DSS impacts on individual users, multiparticipant users, organizations, and societies; evaluating/justifying DSSs.

5. DSS Reference Studies e.g. reference discipline tutorials for DSS researchers; emerging technologies relevant to DSS characteristics or DSS development; related studies on such topics as communication support systems, computer supported cooperative work, negotiation support systems, research support systems, task support systems.

6. DSS Experiences, Management, and Education e.g. experiences in developing or operating DSSs; systems solutions to specific decision support needs; approaches to managing DSSs; DSS instruction/training approaches.
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Decision Support Systems on Data Analytics and Decision-Making Systems: Implications of the Global Outbreaks
Submission Date: 2020-12-30

The recent outbreak of coronavirus (Covid-19) reminded the world of the devastating impact of epidemic and pandemic outbreaks. The outbreak hit China hard, and continues to spread around the globe. Epidemics can be rapidly spread by a group of infectious agents through several methods, threatening the health of a large number of people in a very short time (Medina 2018). The threat to global healthcare from emerging and reemerging epidemics remains critical, and the capacity of pandemic preparedness to confront such threats needs to be strengthened. There is a need for research in the effectiveness of preparedness systems, and in epidemic monitoring to help stabilize economic activities and reduce systematic risks. This would be greatly aided by high-performance decision support systems to keep track of verified events with known or possible impacts on public health or financial market, providing useful data analytic capacities and suggesting proper and efficient reactions. Data Analytics and Artificial Intelligence (AI) based decision support technologies has also shown its potential in the analysis of epidemic diseases, including effectively pre-empting, preventing and combating the threats of infectious disease epidemic; facilitating understanding of health-seeking behaviors and control of public emotions during epidemics (Ginsberg et al., 2009). Today we have a great deal of health data, but utilizing this data in an effective manner is highly challenging. AI offers new tools for public health practitioners and policy makers to revolutionize healthcare and population health through focused, context-specific interventions (Wu et al. 2016, Nam and Seong. 2019, Wu et al. 2019, Chaudhuri and Bose, 2020, Müller-Peltzer et al. 2020, Liu et al. 2020). This call for papers of Decision Support Systems on the theme of “Data Analytics and Decision-Making Systems” is intended to publish insights and viewpoints from scholars regarding risk and data analytics in healthcare decision systems. Authors are encouraged to submit their articles addressing the theme of this special issue which are main focus on decision support system in epidemic and pandemic healthcare systems and cases. Topics of Interest: The special issue aims to address the following, but not limited to, potential topics in decision support system and data analytics and their applications: AI-based behaviors pattern cognition of epidemic outbreak Social-networks analysis applied to healthcare systems Data Analytics and recommendation system Decision making in emergence healthcare Covid-19 effect on operations and financial information systems Text and sentiment analysis of pandemic Innovative decision-making approaches/methods and technologies applied to epidemic control Information systems impact on health risk propagation control Intelligent system for emergence resource allocation of healthcare systems Emergency workflow management during epidemics and pandemics Other topics related to data analytics and decision support as applied to epidemics and pandemics
Last updated by Dou Sun in 2020-06-25
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