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International Journal of Decision Support System Technology (IJDSST)
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Published: Continuous Volume
Copyright: ©2009
DOI: 10.4018/IJDSST
ISSN: 1941-6296
EISSN: 1941-630X
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DescriptionThe 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.
Contents
Volume 16, Issue 1
Volume 15, Issue 2
Volume 15, Issue 1
Volume 14, Issue 1
Volume 13, Issue 4
Volume 13, Issue 3
Volume 13, Issue 2
Volume 13, Issue 1
Volume 12, Issue 4
Volume 12, Issue 3
Volume 12, Issue 2
Volume 12, Issue 1
Volume 11, Issue 4
Volume 11, Issue 3
Volume 11, Issue 2
Volume 11, Issue 1
Volume 10, Issue 4
Volume 10, Issue 3
Volume 10, Issue 2
Volume 10, Issue 1
Volume 9, Issue 4
Volume 9, Issue 3
Volume 9, Issue 2
Volume 9, Issue 1
Volume 8, Issue 4
Volume 8, Issue 3
Volume 8, Issue 2
Volume 8, Issue 1
Volume 7, Issue 4
Volume 7, Issue 3
Volume 7, Issue 2
Volume 7, Issue 1
Volume 6, Issue 4
Volume 6, Issue 3
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 4
Volume 4, Issue 3
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
MissionThe 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.
Journal IndicesBacon's Media Directory GetCited Norwegian Social Science Data Services (NSD) The Index of Information Systems Journals The Standard Periodical Directory Ulrich's Periodicals Directory Web of Science Emerging Sources Citation Index (ESCI) 
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