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Track:
Decision Technologies and Service Sciences
Minitrack: Analytical and
Simulation Models for Knowledge,
Enterprise, and Service Networks
A collection of best papers from this mini-track will be invited
for extension and publication in following peer-reviewed journal
outlets:
Last two journals on this list have early deadlines
(June 20th, 2009). Authors are encouraged to contact mini track co-chairs
and special issue guest editors early.
There is an emerging need for systematic study of various decision and
business processes embedded within different service, knowledge and
enterprise networks along with key organizational communication
technologies to develop models, theories and methods that guide effective
and efficient use of these technologies. Despite making significant
progress towards streamlining organizational workflow processes with the
aid of various technologies, researchers have given little attention to
various direct and indirect economic, time and performance implications in
any knowledge, service or enterprise networks. Analytically robust
solutions need to be developed from several different areas such as
modeling and simulation, social network analysis, human-computer
interaction, information ergonomics, game theory, micro-economic theory
and other modeling or empirical approaches to help improve organizational
decision making, information processing (or flow) and the performance of
these systems as their effects permeates more deeply and into work and
family life.
The aim of this mini track is to focus on a vast majority of
cross-disciplinary analytical and simulation approaches that can be used
to identify strategies and suggest improvements in the decision making,
business processes, knowledge work processing and communication within
networks. For contributing to these areas, this mini-track is soliciting
research results on the following topics of interest, but not limited.
Please visit the detailed CFP at:
http://www.mnstate.edu/gupta/HICSS43CFP.pdf
Suggested Topics
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Modeling problems, new issues, and phenomena of
significant currency and interest under the service science paradigm
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Modeling processes in service enterprises and other
multidisciplinary domains/networks such as healthcare, transportation,
security related networks, supply chain networks, open source networks,
crime networks, social networks, biological networks, accounting and
financial networks, etc.
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Innovative analytical and simulation models of
individuals and networks in the emerging areas of science and technology
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Modeling large (or small) scale service, knowledge
or social systems (networks)
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Modeling emerging economic paradigms
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Modeling IT and Cyber infrastructure
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Modeling technology based communication within and
across organizations, such as email, instant messaging, web 2.0
technologies, and communication through social networking technologies
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Modeling concepts and phenomenon in enterprises,
service and knowledge networks such as creativity, decision making,
information overload, stress, social capital, productivity, etc.
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Modeling Knowledge work and decision making
processes
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Modeling and analysis of individual or network
level communication processes and strategies, types and characteristics of
communication networks.
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Economic and game-theoretic models of information
and knowledge processing
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Behavior Modeling- analytical and mathematical
models of different human behaviors
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Agent based modeling and systems dynamics models of
communication and information flow in service and knowledge networks
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Social network analysis of communication and
collaborative networks
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Analytical models of time and memory and their
influence on knowledge work processing
Minitrack Co-Chairs:
Ashish Gupta (Primary Contact)
School of Business
Minnesota State University Moorhead
1104 7th Ave South
Moorhead MN 56563, USA
Phone: +1-218-477-4651
Fax: +1-218-477-2238
Email: gupta@mnstate.edu
Ramesh Sharda
Department of Management Science and Information Systems
Spears School of Business, Oklahoma State University
Stillwater, OK 74078, USA
Email: ramesh.sharda@okstate.edu
Joseph Barjis
Faculty of Technology, Policy and Management
Delft University of Technology
Jaffalaan 5, 2628 BX Delft, The Netherlands
Email: J.Barjis@TUDelft.NL
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