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IGI Global

International Journal of Decision Support System Technology (IJDSST)

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Serial Information


Editor: Shaofeng Liu

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 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.
Series handle: RePEc:igg:jdsst0
ISSN: 1941-6296

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Content

January 2024, Volume 16, Issue 1

January 2023, Volume 15, Issue 1

December 2022, Volume 15, Issue 2

January 2022, Volume 14, Issue 1

October 2021, Volume 13, Issue 4

July 2021, Volume 13, Issue 3

April 2021, Volume 13, Issue 2

January 2021, Volume 13, Issue 1

October 2020, Volume 12, Issue 4

July 2020, Volume 12, Issue 3

April 2020, Volume 12, Issue 2

January 2020, Volume 12, Issue 1

October 2019, Volume 11, Issue 4

July 2019, Volume 11, Issue 3

April 2019, Volume 11, Issue 2

January 2019, Volume 11, Issue 1

October 2018, Volume 10, Issue 4

July 2018, Volume 10, Issue 3

April 2018, Volume 10, Issue 2

January 2018, Volume 10, Issue 1

October 2017, Volume 9, Issue 4

July 2017, Volume 9, Issue 3

April 2017, Volume 9, Issue 2

January 2017, Volume 9, Issue 1

October 2016, Volume 8, Issue 4

July 2016, Volume 8, Issue 3

April 2016, Volume 8, Issue 2

January 2016, Volume 8, Issue 1

October 2015, Volume 7, Issue 4

July 2015, Volume 7, Issue 3

April 2015, Volume 7, Issue 2

January 2015, Volume 7, Issue 1

October 2014, Volume 6, Issue 4

July 2014, Volume 6, Issue 3

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