HICSS

The design, development, building and implementation of intelligent systems in management is aimed at improving the productivity of working time for both individuals, teams and groups of knowledge workers and managers.

Intelligent support systems should help managers and knowledge workers to a more intuitive and effective use of knowledge and information in problem solving, planning and decision-making, and should help to build innovative and creative support for operations and management.

Multiple criteria optimisation and support systems help to find the best possible solutions for well‑structured problems, and innovative and active DSS provide interactive, intelligent tools for handling semi‑ and ill‑structured problems.

Software agents, which often are integrated in multi-agent systems, have emerged as useful tools for handling the data input for scenario planning and the building of foresight.

The Agent technology, Intelligent Systems and Soft Computing mini‑track is focused on the theory and applications of agent technology, intelligent systems and soft computing in management and management support technology. This includes:

Knowledge based systems and expert systems
Software agents
Multiple criteria optimisation and support systems
Genetic algorithms
Artificial neural nets and self‑organising maps
Innovative and active DSS
Smart MS Office & Windows designs

Minitrack Co-chairs

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

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Data and Process Mining: Business Impact and Application Challenges

This minitrack emphasizes the organizational impact of data mining, web data and process stream mining, and practical issues in business and decision-making. While data mining research and application development have made significant progress in techniques and algorithms, little research has been published in the areas of their impact on organizational performance and managerial decision-making.

Web data, process and workflow, and network traffic streams, fitting with database systems, multi-media, and visualization among others are some of the interesting areas we need to consider more with data mining.

Finally, of particular interest are the challenges of how to maximize the benefits of technology and solutions and how to measure them. Analyzing their impact, systematic evaluation, and newer approaches are of importance. We recognize that there are still many unsolved important technical challenges in this field and hence we invite revisiting them. We continue to encourage major data mining research programs from both academic and industry groups to submit results that address real world problems.

Minitrack Co-chairs

H. Michael Chung (Primary Contact)
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
Website: http://www.csulb.edu/~cist/Ncallforpapers.htm

Selwyn Piramuthu
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

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Exploring and Modeling Human and Social Dynamics

This minitrack seeks research papers, which study human and social dynamics by means of system dynamics modeling (SDM), agent-based modeling (ABM), soft systems methodology (SSM), and action research (AR), or any combination of those approaches..

Topics and research areas include (but are not limited to)

Agents of change
Dynamics of human behavior
Decision making and risk
Integrated research designs (SDM, ABM, SSM, AR)
Computer experiments
Case studies
Exploratory studies
Participatory AR studies
Group model building
Mediated Modeling
Model validation
Participatory approaches in solving dynamic problems
Model-supported policy development
Model-based policy implementation
Action-research supported model and theory building
Model supported Action Research
Methodological contributions

Minitrack Co-chairs

Hans J (Jochen) Scholl (Primary contact)

The Information School

University of Washington

Mary Gates Hall, Suite 370C

Box 352840

Seattle, WA 98195-2840, USA

206-616-2543

Fax: 206-616-3152

jscholl@u.washington.edu

Vedat G. Diker

College of Information Studies

4105 Hornbake Building

University of Maryland

College Park, MD 20742-4345, USA

301-405-9814

Fax: 301-314-9145

diker@glue.umd.edu

Steven E. Phelan

Department of Management

University of Nevada Las Vegas

4505 Maryland Parkway

Las Vegas, NV 89154-6009

702-895-2789

Fax: 702-895-4370

steven.phelan@ccmail.nevada.edu

Intelligent Decision Support for e-Logistics and Supply Chain Management

Website: www.uni-hamburg.de/IWI/hicss

The minitrack features real-world applications and software solutions that aid in solving decision problems in e-Logistics and supply chain management. Methods include optimization, heuristics, simulation, agent technologies, and descriptive methods. We seek papers dealing with decision technologies which contribute to intelligent decision support in the whole field of e-Logistics and in particular in all categories of SCM.

Topics include but is not restricted to:

simulation
optimization
heuristics
agent technologies
descriptive models
data warehousing
data mining

We are especially interested in real world applications and in software solutions which assist in solving decision problems. Also conceptual ideas, reports on projects in progress, and case studies are welcome.

Minitrack Co-chairs

Andreas Fink (Primary Contact)

University of Hamburg

Institute of Information Systems

Von-Melle-Park 5

D-20146 Hamburg, Germany

phone: +49-40-42838-4706

fax: +49-40-42838-5535,

fink@econ.uni-hamburg.de

Stefan Voß

Hamburg University

von-Melle-Park 5,

D-20146 Hamburg, Germany

phone: ++49 40 428383062

fax: ++49 40 428385535

stefan.voss@uni-hamburg.de

H.J. Sebastian

RWTH Aachen University

Department of Operations Research

and Logistics Management

Templergraben 64,

D-52062 Aachen, Germany

phone: ++49 241 80 9 61 85

fax: ++49 241 8092-168

http://www.or.rwth-aachen.de

Sebastian@or.rwth-aachen.de

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Location Technology in Business

The objective of this minitrack is to provide a forum for emerging research on location technology in business. This topic has recently gained much interest, not only within the confine of the field of "geoscience" but also more broadly in the domain of information systems and technology. This minitrack addresses firms' strategic benefits of developing, deploying, and using geospatial information and location technology as well as the challenges they face when integrating business intelligence solutions and geospatial information to support their business processes. As such, the minitrack's aim is to cover both the strategic and the technical issues that firms' may encounter when adopting and implementing location technology.

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

· How firms' can efficiently use and customize location intelligence to gain a competitive advantage?

· Business process change requirements for using location technology (e.g. RFID, GPS, WiFi and GLONASS);

· Technical and managerial issues that need to be addressed when integrating geospatial information to business intelligence solutions;

· Case studies of firms that have already implemented location technology;

· Infrastructure requirements for Ubiquitous (pervasive) Geographic Information Systems (GIS), mobile GIS, GIS services, and beyond;

· Social impacts of location technology

Minitrack Co-chairs

Claude Caron
GeoBusiness Research Group, Director
Faculté d'administration, Université de Sherbrooke
Sherbrooke (Quebec), CANADA, J1K 2R1
Phone: (819) 821-8000, ext. 1908
Fax: (819) 821-7934
Web: http://GeoBusiness.Usherbrooke.ca

ccaron@adm.usherbrooke.ca

Pierre Hadaya
Professeur SIMQG
Faculté d'administration
Université de Sherbrooke

Faculté d'administration
2500 Boulevard Université
Sherbrooke (Québec)
J1K 2R1

(819) 821-8000 ext. 3670

(819) 821-7934

phadaya@adm.usherbrooke.ca

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Mobile Commerce: Mobile Technology Application and Value-Added Products and Services

The Mobile Commerce – Mobile Technology Applications and Value-Added Products and Services mini‑track is focused on the theory and applications of m-commerce enabling technologies and business models. This includes [but is not limited to]:

Localisation and personalisation technology

Location-based services

Methods and design approaches for m-commerce products and services

Multi-agent systems as infrastructure and back office support

Technologies and solutions for m-commerce

Data warehousing and intelligent front end solutions

Consumer behaviour and m-commerce

Mass customisation methods and technology

Minitrack Co-chairs

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 Computing and Public Services in Critical Situations

Our area of interest is in public services in critical situations. The particular perspective we have chosen for this area is that of mobile computing. The people in our target groups all work on the field, away from their offices. Being on the move, in rapidly changing circumstances, sets specific requirements for the mobile phones, PDAs, bar code readers, and other mobile communication and computing devices they use. Also the interplay of these with other tools in use, such as the traditional paper and pen, or the ingenious small whiteboard and felt pen that the Swedish police use in their cars, is important for accomplishing their work.

We invite submissions that discuss, for example

Ø requirements that different groups set for mobile computing,

Ø changes and opportunities in work practices due to these 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, and

Ø emergent theorising in mobile computing.

Minitrack Co-chairs

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

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/

c.sorensen@lse.ac.uk

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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. This minitrack is intended to be such a forum. Our objective is to encourage submissions on multiple aspects of the problem as well as promote diversity in perspectives. 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.

Minitrack Co-chairs

Balasubramaniam Ramesh

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

Zicklin School of Business

City University of New York

One Bernard Baruch Way
New York, New York 10010

Phone: 646-312-3372.

Email: Kannan_Mohan@baruch.cuny.edu

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Virtual Environments for Advanced Modeling (VEAM)

This minitrack will focus on promoting innovative work that explore the new frontiers of modeling concepts and methodologies and to showcase innovative applications in virtual environments.

Some of the aspects of VEAM that this minitrack would be interested in are:

• Artificial worlds

– Free-scale social network structure

– Space shrinking

– Time shrinking

– Parallel worlds

– Development workbench

– Use high-performance computing platform to develop applications

– Continuous experimentation / iterative requirements engineering

– Black box/white box testing using simulation

– Computational environments

– Centralized à Decentralized à Network-based autonomous

• (Agent) Modeling behavior

– How autonomous? intelligent?

– Permanent or short-lived

– Local or global

• Modeling representation

• Modeling

– Behavior (e.g., problem solver)

• Model representation

– Meta-modeling vs. single-process/primitive agent

– Domain specific vs. re-usability

– Virtual vs. real worlds – calibration

• Knowledge discovery

• Simulation as a persistent, near real-time process

• Modeling Communication

– Standard? (hand shaking protocol, data passing)

– ? (info. Agent)

– Communication (data, process passing)

• Market-driven competition

– Problem driven

– Market-driven (cost, performance, etc.)

Minitrack Co-chairs

Hans-Juergen Sebastian (Primary Contact)

RWTH Aachen University

Department of Operations Research

and Logistics Management

Templergraben 64,

D-52062 Aachen, Germany

phone: ++49 241 80 9 61 85

fax: ++49 241 8092-168

http://www.or.rwth-aachen.de

Sebastian@or.rwth-aachen.de

Stefan Voß

Hamburg University

von-Melle-Park 5,

D-20146 Hamburg, Germany

phone: ++49 40 428383062

fax: ++49 40 428385535

stefan.voss@uni-hamburg.de

Tung Bui

University of Hawaii

2404 Maile Way, E303

Honolulu, HI 96822

Tel. 808-956-5565

Fax. 808-956-9889

http://ec.cba.hawaii.edu

tbui@cba.hawaii.edu

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Send questions or comments to: hicss@hawaii.edu