HICSS-39
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.edu


Minitracks 

 

Agent Technology, Intelligent Systems and Soft Computing in Management Support (Pirkko Walden, Masoud Nikravesh and Christer Carlsson)

Contract Management and Decisions Support in Services Science (Dickson Chiu and Patrick Hung)

Emergency Preparedness Information Systems (Murray Turoff, Michael Chumer, and Bartel Van de Walle)

Intelligent Decision Support for e-Logistics and Supply Chain Management (Andreas Fink, Hans-Jürgen Sebastian, Stefan Voß)

Mobile Value Services: Mobile Technology Applications and Value-Adding Products and Services (Christer Carlsson and Pirkko Walden)

Modeling Knowledge Intensive Processes (Balasubramaniam Ramesh and Peng Xu
 

 

Agent Technology, Intelligent Systems and Soft Computing in Management Support

This minitrack is focused on the theory and applications of agent technology, intelligent systems and soft computing in management and management support technology. This includes:

 

 

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

 

Masoud Nikravesh

Department of EECS 
University of California,

Berkeley - CA 94720

Phone: (510) 643-4522

Fax: (510) 642-5775

nikravesh@cs.berkeley.edu



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Contract Management and Decisions Support in Services Science

To address the needs of the growing service sector in this Age of Information and Communication, IBM recently proposed to the industry and academia an emerging research and curriculum area called Services Science.  Based on this context, there is recently increasing research interest in service science, management, and technologies. This minitrack seeks scientists, educators, industry people, policy makers, decision makers, and others who have some insight and vision and understanding of the big challenges in this emerging arena.

 

Topics of interest include but are not limited to the theoretical, technical, or empirical aspects of the following:

 

Principles, theories and challenges of Services Science

Cultural issues in Services Science

Service Level Agreements (SLA)

Services contract specifications, cases, and models.

Automatic and semi-automatic services contract generation and management

Semantic and process support for services contracting, operations, and management

Legal issues in services contract and operations

Service marketing and relationship management

Decision models and decision support systems for service-related management and operations 

 

Dickson K. W. Chiu (Primary contact)

Dickson Computer Systems, Hong Kong

Phone: +852.2712.6448

Fax: +852.2712.6466

E-mail: dicksonchiu@ieee.org
 

Patrick C. K. Hung

Faculty of Business and Information Technology

The University of Ontario Institute of Technology (UOIT), Canada

Phone: +1 905.721.3111 ext. 2835

Fax: +1.905.721.3372

E-mail: patrick.hung@uoit.ca 

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Emergency Preparedness Information Systems

Any aspect of the design, development, deployment, operation, or evaluation of Emergency Preparedness Information Systems are appropriate for this minitrack  – provided the focus is on the tools, functionality, and/or interface that the system provides to human users involved with emergency and crisis response.  Equally welcome also are papers that focus on requirements for this environment and/or the impact or relationship of such systems to the behavior of the individuals or organizations involved.

 

Papers that focus on the underlying technology or hardware of computers, networks, sensors, mobile devices and their improvements in such areas as throughput, accuracy, and security, should be directed to other appropriate sessions. An exception might be any special purpose input/output device for users of such systems that aid in meeting user requirements.

 

This minitrack is concerned with the functionality that Emergency Preparedness Information System provides for those involved in:

 

Murray Turoff (Primary contact)

Information Systems Department

New Jersey Institute of Technology

University Heights

Newark NJ 07102

Phone: 973-596-3366    

Fax:  973-596-5777

murray.turoff@njit.edu
http://is.njit.edu/turoff
 

Michael Chumer

Information Systems Department

New Jersey Institute of Technology

University Heights

Newark NJ 07102

Phone: 973-596-5484 

Fax: 973-596-5777

michael.j.chumer@njit.edu
 

Bartel Van de Walle

Faculty of Economics and Business Administration
Information Systems and Management

Room B 725
P.O. Box 90153
NL-5000 LE Tilburg

The Netherlands

Phone +31 13 466 2016
Fax +31 13 466 3069
bartel@uvt.nl


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Intelligent Decision Support for e-Logistics and Supply Chain Management

Information technology (IT) is a prerequisite for successful supply chain management (SCM) today and will become even more so in the near future. The e-Logistics field is developing very dynamically. While IT systems are vital components in supply chains, their successful management rests 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.  Data mining can be used to store and analyze product, inventory, and sales information. 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. Intelligent agents can, for example,  communicate with different partners in the supply chain, assist in collecting information, share product information, negotiate prices, and distribute alerts throughout the logistics networks. The design and implementation of intelligent decision technologies to support human agents in e-Logistics and SCM is a very active field both in research, consulting and software development.

 

We seek papers dealing with decision technologies that contribute to intelligent decision support in the whole field of e-Logistics and in particular in all categories of SCM.   We are especially interested in real world applications and in software solutions that assist in solving decision problems.

 

This includes but is not restricted to:

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

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

 

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

 

Stefan Voß

Hamburg University

Institute of Information Systems

Von-Melle-Park 5

D-20146 Hamburg, Germany

Phone: ++49 40 42838-3062

Fax: ++49 40 42838-5535

  stefan.voss@uni-hamburg.de   

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Mobile Value Services: Mobile Technology Applications and Value-Adding Products and Services

This minitrack is focused on the theory and applications of mobile value service enabling technologies and business models.

 

This includes but is not limited to:

 

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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Modeling Knowledge Intensive Processes

The objective of this minitrack is to provide a forum for emerging research on the modeling and use of knowledge in knowledge intensive processes such as software development and new product development.  Wide range of issues related to the representation and support for knowledge intensive processes – using a variety of methods and tools ranging from formal models to cognitive approaches ­– are of interest. 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.

 

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

  bramesh@gsu.edu
 

Dr. Peng Xu
Management Science and Information Systems Department
College of Management
University of Massachusetts Boston
100 Morrisey Blvd.
Boston, MA  02125-3393
Phone:  617-287-7882
Email:  peng.xu@umb.edu

 

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Send questions or comments to: hicss@hawaii.edu