[AISWorld] Contents of the latest issue of IJIIT, 6(2)

[Vijay Sugumaran]

The contents of the latest issue of:

 

International Journal of Intelligent Information Technologies (IJIIT)

Official Publication of the Information Resources Management Association

Volume 6, Issue 2, April-June 2010

Published: Quarterly in Print and Electronically 

ISSN: 1548-3657 EISSN: 1548-3665

Published by IGI Publishing, Hershey-New York, USA

www.igi-global.com/ijiit

 

Editor-in-Chief: Vijayan Sugumaran, Oakland University, USA

 

PAPER ONE

 

Information Sharing Strategies in Business-to-Business E-Hubs: An
Agent-Based Study

 

Yifeng Zhang, University of Illinois at Springfield, USA
Siddhartha Bhattacharyya, University of Illinois at Chicago, USA

 

Studies show that supply chain structure is a key factor affecting
information sharing. Business-to-business (B2B) e-hubs have fundamentally
changed many companies' supply chain structure, from a one-to-many to a
many-to-many configuration. Traditional supply chains typically center
around one company, which interacts with multiple suppliers or customers,
forming a one-to-many structure. B2B e-hubs, on the contrary, usually
connect many buyers and sellers together, without being dominated by a
single company, thus forming a many-to-many configuration. Information
sharing in traditional supply chains has been studied extensively, but
little attention has been paid to the same in B2B e-hubs. In this study, the
authors identified and examined five information sharing strategies in B2B
e-hubs. Agent performances under different information sharing strategies
were measured and analyzed using an agent-based e-hub model and practical
implications were discussed.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43000

 

PAPER TWO

 

Ontology-Based Shopping Agent for E-Marketing

 

Sam Meng, University of Macau, China
C. Chatwin, University of Sussex, UK

 

Before Internet consumers make buying decisions, several psychological
factors come into effect and reflect individual preferences on products. In
this paper, the authors investigate four integrated streams: 1) recognizing
the psychological factors that affect Internet consumers, 2) understanding
the relationship between businesses' e-marketing mix and Internet consumers'
psychological factors, 3) designing an ontology mapping businesses'
e-marketing mix with Internet consumers' decision-making styles, and 4)
developing a shopping agent based on the ontology. The relationship between
businesses' e-marketing mix and Internet consumers' psychological factors is
important because it can identify situations where both businesses and
Internet consumers benefit. The authors' ontology can be used to share
Internet consumers' psychological factors, the e-marketing mix of online
business and their relationships with different computer applications. 

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43001

 

PAPER THREE

 

A New Behavior Management Architecture for Language Faculty of an Agent for
Task Delegation

 

S. Kuppuswami, Kongu Engineering College, India
T. Chithralekha, Pondicherry University, India

 

In this paper, the authors describe a new architecture for the language
faculty of an agent that fulfills the interaction requirements of task
delegation. The architecture of the language faculty is based on a
conceptualization of the language faculty of an agent and a definition of
its internal state paradigm. The new architecture is behavior-management
based and possesses self-management properties. This architecture is
compared with existing abstract self-management architectures, which
examines how the new architecture solves unresolved issues of older models.
The architecture description is followed by a case study - Multilingual
Natural Language Agent Interface for Mail Service, which illustrates its
application.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43002

 

PAPER FOUR

 

Effective Use of Information Systems/Technologies in the Mergers and
Acquisitions Environment: A Resource-Based Theory Perspective

 

Hung Chu, Manhattan College, USA
Minh Huynh, Southeastern Louisiana University, USA

 

In this study, the authors examine the effects of information
systems/technologies (IS/T) on the performance of firms engaged in growth
strategies based on mergers and acquisitions (M&A). A model derived from a
resource-based theory of the firm is developed to predict the influence of
IS/T on performance of firms. Data on the financial performance of 133 firms
are used to gauge the impact of IS/T on various M&A objectives. The results
suggest that IS/Ts implement M&A objectives that seek to increase overall
efficiency better than those that seek to introduce new products or efforts
to increase sales. Future studies to examine the process of introducing new
products from resource-based theory are suggested.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43003

 

 

 

 

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For full copies of the above articles, check for this issue of the
International Journal of Intelligent Information Technologies (IJIIT) in
your institution's library.  This journal is also included in the IGI Global
aggregated "InfoSci-Journals" database:  www.infosci-journals.com.

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CALL FOR PAPERS

 

Mission of IJIIT:

 

The advent of the World Wide Web has sparked renewed interest in the area of
intelligent information technologies. There is a growing interest in
developing intelligent technologies that enable users to accomplish complex
tasks in web-centric environments with relative ease, utilizing such
technologies as intelligent agents, distributed computing in heterogeneous
environments, and computer supported collaborative work. The mission of the
International Journal of Intelligent Information Technologies (IJIIT) is to
bring together researchers in related fields such as information systems,
distributed AI, intelligent agents, and collaborative work, to explore and
discuss various aspects of design and development of intelligent
technologies. This journal provides a forum for academics and practitioners
to explore research issues related to not only the design, implementation
and deployment of intelligent systems and technologies, but also economic
issues and organizational impact. Papers related to all aspects of
intelligent systems including theoretical work on agent and multi-agent
systems as well as case studies offering insights into agent-based problem
solving with empirical or simulation based evidence are welcome.

 

Coverage of IJIIT:

 

The International Journal of Intelligent Information Technologies (IJIIT)
encourages quality research dealing with (but not limited to) the following
topics:

 

Agent-based auction, contracting, negotiation, and ecommerce

Agent-based control and supply chain

Agent-based simulation and application integration

Cooperative and collaborative systems

Distributed intelligent systems and technologies

Human-agent interaction and experimental evaluation

Implementation, deployment, diffusion, and organizational impact

Integrating business intelligence from internal and external sources

Intelligent agent and multi-agent systems in various domains

Intelligent decision support systems

Intelligent information retrieval and business intelligence

Intelligent information systems development using design science principles

Intelligent Web mining and knowledge discovery systems

Manufacturing information systems

Models, architectures and behavior models for agent-oriented information
systems

Multimedia information processing

Privacy, security, and trust issues

Reasoning, learning and adaptive systems

Semantic Web, Web services, and ontologies

 

Interested authors should consult the journal's manuscript submission
guidelines at www.igi-global.com/ijiit.

 

All inquiries and submissions should be sent to:

Editor-in-Chief: Dr. Vijayan Sugumaran, sugumara at oakland.edu

 

========================================

Vijayan Sugumaran, Ph.D

Professor of Management Information Systems

Decision and Information Sciences Department

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248.370.2831

Fax: 248.370.4275

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