HICSS-37

 DECISION TECHNOLOGIES
FOR MANAGEMENT TRACK

 

Chair: Dan Dolk
Naval Postgraduate School
Monterey, California  93943-5103
Phone:  (831) 656-2260 
Fax: (831) 656-3679
Email: drdolk@nps.navy.mil

  

Data and Process Mining

 

The minitrack covers the broad theory and application issues related to data mining, machine learning, knowledge acquisition, knowledge discovery, information retrieval, data base, and inductive decision-making. Both structured and unstructured data repositories including human expert decisions, environmental/normative datasets, large document collections, and web databases are considered.   Theoretical and methodological exploration in the previous years motivates us to further investigate the various and richer data and knowledge representation schemes such as Web, multimedia, and geographic data applied to science as well as management domains  

Possible topics may include, but are not limited to the following areas: 

Ø      Knowledge Acquisition
Ø      Measuring Model Performance
Ø      Algorithms and Tools
Ø      Task Characteristics
Ø      Data Quality, Size, and Representation
Ø      Web-based Data Mining
Ø      Process Mining
Ø      Qualitative Knowledge
Ø      Knowledge Re-use
Ø      Active Learning
Ø      Human Factors and Environmental Issues
Ø      Mining Methodology Issues
Ø      Scalability and Preprocessing
Ø      Model Interpretation
Ø      Sensitivity and Generalizability
Ø      Economics and Cost of Errors
Ø      Geographic Data
Ø      Data Visualization
Ø      Application Case Studies
Ø      Industry Projects

Selwyn Piramuthu (Primary Contact)
Decision and Information Sciences
P.O. Box 117169
University of Florida
Gainesville, FL 32611-7169
TEL (352) 392 8882
Fax: (352) 392-5438
selwyn@ufl.edu

H. Michael Chung
Center for Information Strategies and Technologies (CIST)
College of Business Administration
California State University
Long Beach, CA 90840-8506
TEL (562) 985-7691
Fax: (562) 985-5543
hmchung@csulb.edu 

e-Services 

The objective of the minitrack is to encourage submissions on multiple aspects of the problem of developing and delivering e-services. Accordingly, the scope of the minitrack will encompass research along three dimensions of e-services: (1) Concepts, models, and methods for creating for e-services, (2) theory building or framework construction research through empirical, qualitative, or technical “proof of concept” system-design approaches, and (3) innovative applications and case studies highlighting challenges, issues and e-service solutions. Submissions focusing on e-services in the context of e-business applications for e-services and related infrastructure and methods to create such applications are also welcome.

Balasubramaniam Ramesh (Primary Contact)
Department of Computer Information Systems
Georgia State University
35 Broad Street, Atlanta, GA 30303
Phone: 404-651-3823
Fax:     707-598-1412
Email: bramesh@gsu.edu
 
Kannan Mohan
Department of Computer Information Systems
Georgia State University
35 Broad Street, Atlanta, GA 30303
Phone: 404-651-3869
Fax:     404-651-3842
Email: kmohan@cis.gsu.edu

Intelligent Decision Support for e-Logistics and Supply Chain Management 

Information Technology is a prerequisite for successful Supply Chain Management today and will become even more so in near future. The e-Logistics field is developing very dynamically. Business-to business transactions are made via the Internet and ERP systems manage the transactional information within the enterprise. While IT systems are vital components in supply chains, their successful management rely on intelligent and coordinated decision making throughout the logistics network. Intelligent Decision support using advanced decision technologies are becoming increasingly important in e-Logistics and SCM as well.  Simulation and optimization, which can be found in advanced-planning and scheduling systems, can be employed for e.g. inventory, production, procurement and distribution planning.  We are especially interested in real world applications and in software solutions that assist in solving decision problems; conceptual ideas, reports on projects in progress and case studies. 

Areas can include:

Ø      Simulation                          
Ø      optimization                       
Ø      heuristics
Ø      agent technologies              
Ø      descriptive models         
   
Prof. Dr. Stefan Voss
Hamburg University
von-Melle-Park 5, D-20146 Hamburg
phone: ++49 40 428383062
fax: ++49 40 428385535
mail to: stefan.voss@uni-hamburg.de
Univ.-Prof. Dr. H.-J. Sebastian
RWTH Aachen University
Department of Operations Research
and Logistics Management
Templergraben 64, D-52062 Aachen
phone: ++49 241 80 9 61 85
fax: ++49 241 8092-168
http://www.or.rwth-aachen.de
mailto: Sebastian@or.rwth-aachen.de

 

Intelligent Systems and Soft Computing 

The Intelligent Systems and Soft Computing mini‑track is focused on the theory and applications of intelligent systems and soft computing in management. This includes: 
Ø      Knowledge based systems
Ø      Expert systems
Ø      Software agents
Ø      Multiple criteria optimisation and support systems
Ø      Genetic algorithms
Ø      Artificial neural nets and self‑organising maps
Ø      Innovative and active DSS
Ø      Smart MS Office & Windows designs
 
Christer Carlsson (Primary Contact)
IAMSR 
Åbo Akademi University
DataCity B 6734,
20520 Åbo, Finland
christer.carlsson@abo.fi
 
 
Pirkko Walden
IAMSR 
Åbo Akademi University
DataCity B 6734
20520 Åbo, Finland
pirkko.walden@abo.fi

Mobile Commerce: Core Business Technology and Intelligent Support  

The Mobile Commerce – Intelligent Support and Core Business Technology mini‑track is focused on the theory and applications of m-commerce enabling technologies and intelligent support systems.  

This includes:

Ø      Localisation and personalisation technology
Ø      Location-based services
Ø      Methods and design approaches for m-commerce products and services
Ø      Knowledge based systems and soft computing
Ø      Agent systems
Ø      Technologies and solutions for m-commerce
Ø      Data warehousing and intelligent front end solutions
Ø      Consumer behaviour and m-commerce
Ø      Mass customisation methods and technology
 
 
Pirkko Walden (Primary Contact)
IAMSR 
Åbo Akademi University
DataCity B 6734
20520 Åbo, Finland
pirkko.walden@abo.fi

Christer Carlsson
IAMSR 
Åbo Akademi University
DataCity B 6734,
20520 Åbo, Finland
christer.carlsson@abo.fi
Jari Veijalainen
Dept. of Computer Science and Information Systems
Univ. of Jyväskylä
P.O. Box 35
FIN-40351 Jyväskylä, Finland
veijalainenj@acm.org

 

Mobile Computing and Public Services in Delicate or Emergency Situations 

The police, the fire brigade, the guards, the nurses, the social workers, the paramedics all work in ever-changing circumstances. Their main skills lie in managing the particular situation, be it a delicate family situation, or a traffic accident. Their attention is focused on those in need, on the immediate demands.  They must also record events and find information to bring the particular incident into its context. To coordinate efforts, standard operating procedures are enforced, but  versatile communication is needed, as each case is different. In larger scale crises, emergency management requires constant information of what is going on. Accountability for actions during the situation is a requirement. 

We invite submissions that discuss, for example

Ø      requirements different groups set for mobile computing,
Ø      changes and opportunities in work practices due to these kinds of tools,
Ø      architectures and plans for integrating mobile computing into work,
Ø      implemented mobile information systems,
Ø      user experiences and improvement processes with these systems
Ø      emergent theorising in mobile computing.
Eija H. Karsten (Primary Contact)
Department of Information Technology & TUCS
University of Turku
Lemminkäisenkatu 14 A
20520 Turku, Finland
phone +358 (0)2 333 8662
fax +358 (0)2 333 8600
http://www.cs.utu.fi/personnel/eija_karsten.htm
email eija.karsten@it.utu.fi
Carsten Sorensen
Department of Information Systems
London School of Economics and Political Science
Houghton Street
London WC2A 2AE, United Kingdom
phone +44 (0)20 7955 6102
fax +44 (0)20 7955 7385
http://is.lse.ac.uk/staff/sorensen/
email c.sorensen@lse.ac.uk

Modeling Knowledge Intensive Processes 

The objective of this minitrack is to provide a forum for emerging research on the modeling and use of process knowledge.  In the past, much of research in this area has focused on tools and techniques for the capture and use of design rationale for software.  However, researchers are increasingly focusing on multiple facets of the problem, e.g., capturing and retaining implicit knowledge or devising organizational incentives for designers to create and use process knowledge.  It is our contention that widespread use of knowledge intensive processes in organizations requires integration among the diverse aspects of the problem.  This can be accomplished by providing mechanisms through which researchers can exchange perspectives on different aspects of the problem.  Accordingly, the scope of the minitrack will encompass research on modeling concepts, methods, and applications.  We also welcome submissions that focus on the use and efficacy of process knowledge in the design of products, systems or services. 

Balasubramaniam Ramesh  (Primary Contact)
Department of Computer Information Systems
Georgia State University
35 Broad Street, Atlanta, GA 30303
Phone: 404-651-3823
Fax:     707-598-1412
Email: bramesh@gsu.edu
Kannan Mohan
Department of Computer Information Systems
Georgia State University
35 Broad Street, Atlanta, GA 30303
Phone: 404-651-3869
Fax:     404-651-3842
E-mail: kmohan@cis.gsu.edu
Kishore Sengupta
Associate Professor of Information Systems
INSEAD
Boulevard de Constance
77305 Fontainbleau Cedex,
France
Tel: (33) (0)1 60 72 44 06
Fax: (33) (0)1 60 74 55 00/01
Email: kishore.sengupta@insead.edu

 

Modeling Nonlinear Natural and Human Systems 

This minitrack is a premier presentation forum for the latest ideas and results in the areas of agent-based adaptive simulation, SD-based simulation, and other approaches to modeling nonlinear complex systems. We seek research papers, case studies and practitioner reports relating to modeling and simulation methods, environments, and methodologies of complex systems. Contributions, in which various nonlinear modeling techniques are employed, are highly welcome. 

Relevant topics for this minitrack include (but are not limited to):

Ø      Studies involving agent-based modeling techniques
Ø      Studies involving system dynamics modeling techniques
Ø      Cross-sectional Agent-based and System Dynamics studies
Ø      Business Applications and Case Studies
Ø      Architectures and Environments
Ø      Standards
Ø      Experimental Studies
Ø      Large Scale Simulations
Ø      Web-Based Simulations
Ø      Model Verification, Validation and Calibration
Ø      Solution Comparisons
Ø      Integration With Decision Models
Ø      Constructive and Destructive Agents
Ø      Artificial Organizations, Societies and Economies

For more information: http://www2.ctg.albany.edu/conference/hicss/

Hans J (Jochen) Scholl  (Primary contact)
University of Washington
The Information School
Box 352840
Seattle, WA 98195-2840
Tel: (206) 616-2543
Fax :(206) 616-3152
jscholl@u.washington.edu
George P. Richardson
Professor of Public Administration, Public Policy, and Information Science
Rockefeller College of Public Affairs and Policy
University at Albany - State University of New York
Albany, NY 12222
Tel:: (518) 442-3859
gpr@albany.edu  

VEAM:  Virtual Environments for Advanced Modeling

The focus of this minitrack is to convene leading researchers from all over the world to present and discuss recent advances in the area of “virtual worlds” and modeling.  The three main threads underlying this theme are distributed decision technologies, knowledge science and management, and collaborative modeling as applied to real world problems.  Topics of interest to this Minitrack include the following:

·        Distributed modeling and optimization
·        Modeling on the Internet
·        Intelligent agents in modeling applications
·        Optimization and supply chain management
·        Agent-based simulation
·        Collaborative modeling
·        Optimization modeling for e-commerce
·        Knowledge science and modeling
·        Decision technologies for distributed modeling
·        Distributed modeling environments
·        Modeling integration
·        Case studies of modeling systems (e.g., telecommunications, environment, transportation)
 
Daniel R. Dolk (Code IS/Dk) (primary contact)
Naval Postgraduate School
Monterey, CA  93943
Ofc: (831)  656-2260
Fax: (831)  656-3407
drdolk@nps.navy.mil
http://web.nps.navy.mil/~drdolk

H.-J. Sebastian
Aachen University of Technology
Institute for Operations Research
Templergraben 64, D-52062 Aachen
phone: ++49 241 80 9 61 85
fax: ++49 241 8092-168
Sebastian@or.rwth-aachen.de
http://www.or.rwth-aachen.de