Description:
The primary objective of the International Journal of Decision Support System Technology (IJDSST) is to provide comprehensive coverage for DMSS technology issues. The issues can involve, among other things, new hardware and software for DMSS, new models to deliver decision making support, dialog... Show More
The primary objective of the International Journal of Decision Support System Technology (IJDSST) is to provide comprehensive coverage for DMSS technology issues. The issues can involve, among other things, new hardware and software for DMSS, new models to deliver decision making support, dialog management between the user and system, data and model base management within the system, output display and presentation, DMSS operations, and DMSS technology management. Since the technology's purpose is to improve decision making, the articles are expected to link DMSS technology to improvements in the process and outcomes of the decision making process.
Decision Making Support Systems (DMSS) are information systems that interactively support the decision making process of individuals and groups in life, public, and private organizations, and other entities. These systems include Decision Support Systems (DSS), Executive Information Systems (EIS), Executive Support systems (ESS), Management Support Systems (MSS), Knowledge Based Systems (KBS), Intelligent Decision Support Systems (IDSS) and Creativity Enhancing Systems (CES). A theme that all articles published in the IJDSST have in common is to define new technologies in support of decision making. These technologies can be developed from several points of view: methodological, theoretical or technical.
Each DMSS is a vehicle that delivers effectively and efficiently information technology and decision technology to the system user at a local or networked workstation or online through the Internet. The areas addressed by published papers can be diverse, including but not limited to: architectures of DSS, functionalities, mathematical models of problem solving, algorithms, man-machine interface, methods or methodologies. Decision technology usually involves accounting, cognitive science, economic science, management science, statistical models, operational research models and multi-criteria analyses that describe the decision problem explicitly and provide algorithms and methodologies that generate recommended solutions.
There are a number of excellent theoretical and applied scholarly journals that offer articles in many DMSS areas. None, however, have a primary focus on DMSS technology and its role in DMSS support for the decision making process.
Mission & Scope:
The primary objective of the International Journal of Decision Support System Technology (IJDSST) is to provide comprehensive coverage for DMSS technology issues. The issues can involve, among other things, new hardware and software for DMSS, new models to deliver decision making support, dialog management between the user and system, data and model base management within the system, output... Show More
The primary objective of the International Journal of Decision Support System Technology (IJDSST) is to provide comprehensive coverage for DMSS technology issues. The issues can involve, among other things, new hardware and software for DMSS, new models to deliver decision making support, dialog management between the user and system, data and model base management within the system, output display and presentation, DMSS operations, and DMSS technology management. Since the technology’s purpose is to improve decision making, the articles are expected to link DMSS technology to improvements in the process and outcomes of the decision making process. This link can be established theoretically, mathematically, or empirically in a systematic and scientific manner.
Coverage:
- Accounting
- Architectures of DSS
- Cognitive Science
- Context awareness, modeling, and management for DMSS
- Creativity Enhancing Systems (CES)
- DMSS data capture, storage, and retrieval
- DMSS feedback control mechanisms
- DMSS function integration strategies and mechanisms
- DMSS model capture, storage, and retrieval
- DMSS network strategies and mechanisms
- DMSS output presentation and capture
- DMSS software algorithms
- DMSS system and user dialog methods
- DMSS system design, development, testing, and implementation
- DMSS technology evaluation
- DMSS technology organization and management
- Economic science
- Executive Information Systems (EIS)
- Executive Support systems (ESS)
- Intelligent Decision Support Systems (IDSS)
- Knowledge Based Systems (KBS)
- Management Science
- Management Support Systems (MSS)
- Man-machine interface
- Mathematical models of problem solving
- Operational research models and multi-criteria analyses
- Other related technology issues that impact the overall utilization and management of DMSS in real life and organizations
- Public and private DMSS applications
- Statistical Models
- Web-based and mobile DMSS technologies
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All inquiries regarding IJDSST should be directed to the attention of:
Submission-Related InquiriesDr. Shaofeng LiuEditor-in-ChiefInternational Journal of Decision Support System Technology (IJDSST)Email:
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