International Journal of Decision Support System Technology (IJDSST)

International Journal of Decision Support System Technology (IJDSST)

Editor-in-Chief: Pascale Zaraté (Toulouse University, France)
Indexed In: Compendex (Elsevier Engineering Index), INSPEC, SCOPUS, Web of Science (All Journals) and 13 more indices
Published: Quarterly |Established: 2009
ISSN: 1941-6296|EISSN: 1941-630X|DOI: 10.4018/IJDSST

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 ofproblem 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. The IJDSST is the official journal publication of the Euro Working Group on Decision Support System (EWG-DSS) (https://ewgdss.wordpress.com/). Several special issues have been published from research conducted in this working group.

Topics Covered

  • Context awareness, modeling, and management for DMSS
  • 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
  • Other related technology issues that impact the overall utilization and management of DMSS in real life and organizations
  • Public and private DMSS applications
  • Web-based and mobile DMSS technologies

Mission and 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 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.

Table of Contents and List of Contributors

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Open Access Articles: Forthcoming
Volume 9: 4 Issues (2017): 2 Released, 2 Forthcoming
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing

Indices

Editor(s)-in-Chief Biography

Pascale Zaraté is a Professor at Toulouse 1 Capitole University. She conducts her researches at the IRIT Laboratory. She holds a Ph.D. in Computer Sciences / Decision Support from the LAMSADE laboratory at the Paris Dauphine University, Paris (1991). She also holds a Master degree in Computer Science from the Paul Sabatier University, Toulouse, France (1986); as well as a Bachelor degree Toulouse, France (1982). Pascale Zaraté’s current research interests include: Decision Support Systems as well as Cooperative Decision Making. She is coordinator of the Euro Working Group on DSS. She published several studies and works: three books, edited six books, edited 17 special issues in several international journals, 11 proceedings of international conferences, 30 papers in several international journals, seven chapters in collective books, 51 papers in international conferences. She belongs to the Editorial Scientific Committee of seven International Journals. She was chairing the IFIP TC8/WG8.3 conference devoted to Collaborative Decision Making in 2008 and the Group Decision and Negotiation Conference in 2014.

Editorial Board

Associate Editors
Fatima Dargam, SimTech Simulation Technology, Austria
Manuel Mora, Autonomous University of Aguascalientes, Mexico
Jason Papathanasiou, University of Macedonia, Greece
Vicki Sauter, University of Missouri–St. Louis, United States
Rudolf Vetschera, University of Vienna, Austria
Editorial Review Board
Frédéric Amblard, Toulouse University, France
Ana Azevedo, Polytechnic Institute of Porto/ISCAP, Portugal
Sandro Bimonte, National Research Institute of Science and Technology for Environment and Agriculture, France
Guy Camilleri, Toulouse University, France
Boris Delibasic, University of Belgrade, Serbia
Gabriela Florescu, National Institute for Research & Development in Informatics, Romania
Leonardo Garrido, Tecnológico de Monterrey, Mexico
Benoit Gaudou, Institute for Computer Science Francophonie, Viet Nam
Luca Iandoli, University of Naples Federico II, Italy
Daouda Kamissoko, University of Toulouse, France
Miroljub Kljajić, University of Maribor, Slovenia
Carlos Legna Verna, Universidad de la Laguna, Spain
Isabelle Linden, University of Namur (UNamur), Belgium
Shaofeng Liu, University of Plymouth, United Kingdom
James Marsden, University of Connecticut, United States
David Paradice, Auburn University, United States
Doncho Petkov, Eastern State Connecticut University, United States
Roger Pick, University of Missouri–Kansas City, United States
Daniel Power, University of Northern Iowa, United States
Rita Ribeiro, Uninova - CA3, Portugal
Nathalie SOUF, University Paul Sabatier, France
Victoria Y. Yoon, University of Maryland Baltimore County, United States

Award Winning Articles

  • IGI Global’s Seventh Annual Excellence in Research Journal Awards
    Generalized Scalarizing Model GENS in DSS WebOptimIGI Global’s Seventh Annual Excellence in Research Journal Awards