[AISWorld] CFP reminder: "Group-based Decision and Knowledge Support Systems for Service Systems"

[mmora at securenym.net]

Special Issue on: "Group-based Decision and Knowledge Support Systems for
Service Systems"

Int. J. of Information and Decision Sciences
http://www.inderscience.com/info/ingeneral/cfp.php?id=2516

Context:
Group-based decision support systems (GDSS) (Gray et al., 2011) and
knowledge management systems (KMS) (Alavi & Leidner, 2001) are specialised
IT systems focused respectively on supporting team decision-making
processes (through support for intelligence, design and choice phases) and
on team-based or organisation-based knowledge preservation, dissemination
and utilisation processes (supporting mainly the implementation and
learning phases of an extended decision-making process). Both IT
technologies have reached a mature stability.

However, when a new application domain appears, new scientific,
engineering and managerial challenges are exposed. Service systems is an
emergent relevant construct posited by the service science area – an
emergent research area endorsed by important worldwide institutions.
Service systems have been defined as dynamic configurations of people,
technologies, organisations and shared information that create and deliver
value to customers, providers and other stakeholders (Spohrer et al.,
2008). Service science aims to discover the underlying logic of complex
service systems and to establish a common language and shared frameworks
for service innovation (IfM and IBM, 2008). In important service sectors
are explicitly and implicitly embedded multiples service systems such as
universities in the higher education sector, hospitals in the healthcare
sector, mobile companies in the telecom sector, banks in the financial
sector and sport leagues in the entertainment sector, among others. In all
of these service systems, the participation of teams is inherent for
knowledge and decision-intensive tasks.

Thus, in this special issue we pursue the goal of advancing our scientific
knowledge of service systems through the support provided by GDSS and KMS
to teams in these and other service systems. Exploratory, theory building,
theory testing and applied high-quality research papers are welcome for
the issue.



References:

Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and
knowledge management systems: Conceptual foundations and research issues.
MIS Quarterly, 107-136.

Gray, P., Johansen, B., Nunamaker, J., Rodman, J., &, Wagner, G. (2011).
GDSS Past, Present, and Future. In: D. Schuff, D. Paradice, F. Burstein,
D. Power and R. Sharda (Eds), Decision Support: An Examination of the DSS
Discipline, Springer, pp. 1-24.

IfM and IBM (2008). Succeeding through Service Innovation: Developing a
Service Perspective for Education, Research, Business and Government.
Cambridge, United Kingdom: University of Cambridge Institute for
Manufacturing.

Spohrer, J., Maglio, P. P., Bailey, J. and Gruhl, D. (2007). Steps toward
a science of service systems. IEEE Computer, 40(1), 71–77.


Subject Coverage:
Suitable topics include, but are not limited to, the following:

    Innovative applications of GDSS or KMS for service systems in core
service sectors (education, healthcare, financial, telecom,
entertainment, etc.)
    GDSS or KMS development methodologies including service science concepts
    GDSS or KMS value frameworks including service science concepts
    GDSS or KMS development tools useful for service systems (commercial
or open source)
    Surveys on GDSS and KMS applications for service systems
    Theories on decision making in service sectors
    Case studies of knowledge management in service sectors
    Theory on technology-supported decision making or knowledge management
in service sectors
    Human factors in technology use for group-based decision making in
service sectors
    GDSS or KMS for green IT services
    GDSS or KMS for sustainable services


Notes for Prospective Authors:
Submitted papers should not have been previously published nor be
currently under consideration for publication elsewhere. (N.B. Conference
papers may only be submitted if the paper has been completely re-written
and if appropriate written permissions have been obtained from any
copyright holders of the original paper). All papers are refereed through
a peer review process. All papers must be submitted online. To submit a
paper, please read our Submitting articles page.


Important Dates:

Paper submission for review: 30 September, 2014
Review results: 30 November, 2014
Revised paper submission: 31 January, 2015
Final acceptance: 28 February, 2015
Final version submission: 15 March, 2015



Guest Editors:
Dr. Manuel Mora, Autonomous University of Aguascalientes, Mexico
Dr. Fen Wang, Central Washington University, USA
Dr. Jorge Marx Gómez, University of Oldenburg, Germany
Dr. Gloria Phillips-Wren, Loyola University, USA