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---------------------------- Original Message ----------------------------
Subject: IJDSST Inaugural Issue
From: forgionn@umbc.edu
Date: Wed, October 15, 2008 11:47 am
To: "AISWORLD Information Systems World Network"
<isworld@lyris.isworld.org>
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The contents of the latest issue of:

International Journal of Decision Support System Technology (IJDSST)
Official Publication of the Information Resources Management Association
Volume 1, Issue 1, January-March 2009
Published: Quarterly in Print and Electronically
ISSN: 1941-6296 EISSN: 1941-630X
Published by IGI Publishing, Hershey-New York, USA
www.igi-global.com/ijdsst

Editor-in-Chief: Guisseppi A. Forgionne,
University of Maryland, Baltimore County, USA

Editorial Preface

Guisseppi A. Forgionne, Editor-in-Chief
James Marsden, Associate Editor

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), expert systems (ES),
knowledge based systems (KBS), and creativity
enhancing systems (CES). Other DMSS, such as
executive support systems (ESS), management
support systems (MSS), artificially intelligent
decision support systems (IDSS), and decision
technology systems (DTS), integrate the functions
of DSS, EIS, ES, KBS, or CES, to provide more
comprehensive support than the individual separate systems.

To read the preface, please consult this issue of IJDSST in your library.

PAPER ONE:

Effective DMSS Guidance for Financial Investing

Guisseppi A. Forgionne, University of Maryland - Baltimore County, USA
Roy Rada, University of Maryland - Baltimore County, USA

This article seeks to close the support gap by
offering a theoretical decision making support
system for financial investing and illustrating
the system's use in practice. Investment
decisions have a significant impact on
individuals, groups, organizations, the economy,
and society. As a result, many formal
methodologies and information systems have been
designed, developed, and implemented to assist
with financial investing. While these tools can
improve decision making, none offer complete and
integrated support for financial investing. The
demonstration indicates that the theoretical
system can improve the process of, and outcome from, investing.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?id=33068

PAPER TWO:

Decision Support-Related Resource Presence and
Availability Awareness for DSS in Pervasive Computing Environments

Stephen Russell, George Washington University, USA
Guisseppi Forgionne, University of Maryland , Baltimore County, USA
Victoria Yoon, University of Maryland - Baltimore County, USA

This article discusses issues related to
data-driven decision support systems (DSS) in
pervasive computing environments (PCE) and
demonstrates that a decision maker's awareness of
online status and availability can improve
decision outcomes. Over the last 10 years,
pervasive computing environments and mobile
networks have become extremely popular. Despite
the many end user benefits of pervasive
computing, the intrinsic instability and context
ambiguities of these environments pose
impediments to data-oriented decision support
systems. In pervasive computing environments
where users, systems, and computing resources are
distributed or mobile, the online or "available"
state of decision support-related resources may
be intermittent or delayed. Awareness or
knowledge of these resources' online presence and
availability can affect the decision making
process. A model for extending DSS resource
presence and availability awareness to decision
makers is presented and the impact of this
knowledge on decision outcomes is evaluated using
a management problem simulation.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?id=33069

PAPER THREE:

Collaborative Decision Making: Complementary
Developments of a Model and an Architecture as a Tool Support

Marija Jankovic, Ecole Centrale Paris, France
Pascale Zaraté, Toulouse University, France
Jean-Claude Bocquet, Ecole Centrale Paris, France
Julie Le Cardinal, Ecole Centrale Paris, France

In this article the authors present two research
works concerning two different collective
decision situations: face-to-face decision-making
and synchronous distributed decision-making.
These two research studies adopt different
approaches in order to support decision-making
process, in view to different research
objectives. Nevertheless, the conclusions show
complementary aspect of these two studies.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?id=33070

PAPER FOUR:

Developing a DSS for Allocating Gates to Flights at an International Airport

Vincent F. Yu, National Taiwan University of Science and Technology, Taiwan
Katta G. Murty, IOE, University of Michigan, Ann Arbor, USA
Yat-wah Wan, GSLM, National Dong Hwa University, Taiwan
Jerry Dann, Taiwan Taoyuan International Airport, Taiwan
Robin Lee, Taiwan Taoyuan International Airport, Taiwan

Typically international airports have features
quite distinct from those of regional airports.
In this article, the authors discuss the process
of developing a Decision Support System, and
appropriate mathematical models and algorithms to
use for making gate allocation decisions at an
international airport. As an example, the authors
describe the application of this process at
Taiwan Taoyuan International Airport to develop a
DSS for making gate allocation decisions for their passenger flights.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?id=33071

PAPER FIVE:

Enabling On-Line Deliberation and Collective
Decision-Making through Large-Scale
Argumentation: A New Approach to the Design of
an Internet-Based Mass Collaboration Platform

Luca Iandoli, University of Naples Federico II, Italy
Mark Klein, Massachusetts Institute of Technology, USA
Giuseppe Zollo, University of Naples Federico II, Italy

In particular very few attempts have been done to
support large, diverse, and geographically
dispersed groups to systematically explore and
come to decisions concerning complex and
controversial systemic challenges. In order to
overcome the limitations of current collaborative
technologies, in this article, the authors
present a new large-scale collaborative platform
based on argumentation mapping. The successful
emergence of on-line communities, such as open
source software and Wikipedia, seems due to an
effective combination of intelligent collective
behavior and internet capabilities. However,
current internet technologies, such as forum,
wikis, and blogs appear to be less supportive for
knowledge organization and consensus formation.

To obtain a copy of the entire article, click on the link below.
http://www.igi-global.com/articles/details.asp?id=33072

****************************************************
For full copies of the above articles, check for
this issue of the International Journal of
Decision Support System Technology (IJDSST) in
your institution's library. This journal is also
included in the IGI Global aggregated
"InfoSci-Journals" database:
www.infosci-journals.com. If your library is not
currently subscribed to IJDSST, recommend IJDSST
subscription
http://www.igi-global.com/journals/details.asp?ID=7889&mode=recommend
to your library or "InfoSci-Journals" to your librarian.
*****************************************************

CALL FOR PAPERS

Mission of IJDSST:

There are a number of excellent theoretical and
applied scholarly journals that offer articles in
many Decision Making Support Systems (DMSS)
areas. None, however, have a primary focus on
DMSS technology and its role in DMSS support for
the decision making process. The primary
objective of the International Journal of
Decision Support System Technology is to provide
comprehensive coverage for DMSS technology issues.

Coverage of IJDSST:

The coverage of the journal is intended to cover
a range of topics within the area of
specialization. Among the topics of interest are:
DMSS computer hardware
DMSS computer systems and application software
DMSS system design, development, testing, and implementation
DMSS data capture, storage, and retrieval
DMSS model capture, storage, and retrieval
DMSS system and user dialog methods
DMSS output presentation and capture
DMSS feedback control mechanisms
DMSS function integration strategies and mechanisms
DMSS technology evaluation
DMSS network strategies and mechanisms
Web-based and mobile DMSS technologies
Public and private DMSS applications
DMSS technology organization and management
Context awareness, modeling and management for DMSS
All other related technology issues that impact
the overall utilization and management of DMSS in modern life and
organizations

Interested authors should consult the journal's
manuscript submission guidelines at www.igi-global.com/ijdsst.

All inquiries and submissions should be sent to:
Editor-in-Chief: Guisseppi A. Forgionne at forgionn@umbc.edu

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