[Dbworld] Call for Book Chapters
Thursday, July 31st, 2008From: “Antti Syvajarvi” <antti.syvajarvi at ulapland.fi>
CALL FOR CHAPTER PROPOSALS
CALL
FOR CHAPTER PROPOSALS
Proposal
Submission Deadline: September 1, 2008
Handbook of Research on
Data Mining in Public and Private Sectors: Organizational and Government
Applications
A book edited by Dr. Antti
Syväjärvi* and Dr. Jari Stenvall**
*University of Lapland,
Finland
**University of Tampere,
Finland
Introduction
The
need for both organizations and government agencies to generate, to collect and
to utilize data in public and private sector activities is increasing.
Organizational and governmental complexity is growing and simultaneously the
potential of data mining is becoming more evident. However, the implications of
data mining in organizations and government agencies remain somewhat blurred
and unrevealed. Data Mining is defined as the principle of sorting through data
and to picking out relevant or evident information for organizational and
governmental purposes. Data mining in the public and private sectors consists
of collecting and managing the data, analyzing and predicting on the basis of
data, and understanding implications of the data and information. Therefore, it
is important to understand how data mining is manifested in public and private
sectors and how it can be enhanced at various levels both in organizations and
governments. In the fields of administration and management studies,
organization studies, information studies, information systems, information and
knowledge management, etc., there exists a need for an edited collection of
articles in this area.
Objective
of the Book
This
book will aim to provide relevant theoretical frameworks and the latest
empirical research findings in the area. It will be written for academics and
professionals who want to improve their understanding of the role of data
mining in public and private sector organizations. Mining of data, information,
and knowledge from various databases has been recognized by many researchers from
various academic fields. Data mining can be understood as the use of
sophisticated data analysis applications to discover previously unknown, valid
patterns and relationships in large data sets. These objectives are apparent in
various fields of the public and private sectors. Finally, this book aims to
have a collection of articles that reveal the abovementioned linkage of data
mining to organizational practice and development, to management, to decision
making, to service delivery, to strategic planning, to information management,
to administration and governance, etc.
Target
Audience
Data
and information have become valuable resources for societies, organizations,
actors and governments of all kind. The target audience of this book will be
composed of professionals and researchers working in the field of data,
information ,and knowledge management in various disciplines, e.g.
administrative sciences and management, information and communication sciences,
education, sociology, computer science, and applied information technology.
Moreover, the book will provide insights and support executives concerned with
the management of expertise, knowledge, information and organizational
development in public and private work environments.
Recommended topics include, but are not limited to,
the following:
Data
mining a conceptual framework
Data
mining and its social and network implications
Data
mining and management
Data
mining and decision making
Data
mining in organizational and governmental development
Data
mining in administration and governance
Data
mining and organizational services
Data
mining and value creation
Data
mining and information systems
Data
mining and strategic approach
Data
mining in public and private partnership
Data
mining and future challenges
Submission Procedure
Researchers
and practitioners are invited to submit on
or before September 1, 2008, a
2-3 page chapter proposal clearly explaining the mission and concerns of his or
her proposed chapter. Authors of accepted proposals will be notified by September
22, 2008 about the status of their proposals and sent chapter
guidelines. Full chapters are expected to be submitted by December 15, 2008. All
submitted chapters will be reviewed on a double-blind review basis. This book is scheduled to be published world widely by IGI Global
(formerly Idea Group Inc.), publisher of the Information Science Reference
(formerly Idea Group Reference) and Medical Information Science Reference
imprints. For additional information regarding the publisher, please visit www.igi-global.com.
Inquiries and submissions can be forwarded electronically (MS Word document) or by
mail to:
Dr. Antti Syväjärvi,
Professor
Department of Social
Science Research
UNIVERSITY OF LAPLAND
PO
Box 122, 96101 Rovaniemi, Finland
Tel. +358
400 606 244
E-mail: antti.syvajarvi@ulapland.fi
and
Dr.
Jari Stenvall, Professor
Department
of Management Studies
UNIVERSITY OF TAMPERE
FIN-33014
University of Tampere, Finland
Tel. +358
40 828 4350
E-mail: jari.stenvall@ulapland.fi
_______________________________________________
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