---------- Forwarded Message ---------- Subject: CFP: Book Chapters in Oraganizational Data Mining Date: Tue, 18 Sep 2001 11:06:46 -0400 From: "Dr. Hamid Nemati" nemati@uncg.edu To: ISWORLD@LISTSERV.HEANET.IE
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CALL FOR BOOK CHAPTERS Chapter proposals submission deadline: November 30, 2001, Full chapter submission deadline: April 1, 2002
ORGANIZATIONAL DATA MINING: LEVERAGING ENTERPRISE DATA RESOURCES FOR OPTIMAL PERFORMANCE
A book Edited by: Hamid Nemati and Christopher Barko, The University of North Carolina at Greensboro
The recent economic conditions have created a challenging yet opportunistic competitive environment for organizations. This ruthless environment of demanding customers, increased sophistication and rampant globalization compels successful companies to remove inefficiencies and leverage key corporate assets. In recent years organizations have realized the value of data as a critical corporate asset and the essential role it performs. Organizational Data Mining (ODM) is defined as leveraging organizational data, information and knowledge assets to acquire and maintain a competitive advantage. Understanding ODM requires assimilating insights from a variety of fields into a comprehensive and fundamental framework that supports an organizations quest for a competitive advantage. This is the essence of Organizational Data Mining (ODM). ODM is therefore the confluence of advances in Business Strategy, Organizational Learning and Knowledge Management, Informational Sciences, and Decision Support Systems that offer organizations an indispensable decision-enhancing process to optimize resource allocation and exploit new opportunities by transforming data into valuable and actionable knowledge. This book is about how organizations use data to gain a competitive advantage. It resulted from the observation that data mining is gaining greater acceptance within organizations and delivering colossal benefits, yet there are few scholarly books devoted to exploration of both the organizational and technical factors of data mining.
RECOMMENDED TOPICS This edited peer reviewed scholarly book seeks original contributions that explore a wide range of issues addressing all aspects of ODM. Manuscripts ranging from conceptual frameworks to case studies and empirical research are encouraged. Acceptable topics will include (but are not limited to) any of the following topics as related to ODM:
Research frameworks, methods, methodologies, architectures, and infrastructure issues in the design, implementation and maintenance of ODM projects and initiatives; Technical and organizational issues in the design, implementation and maintenance of processes that generate, share, use, disseminate and protect organizational data, information and knowledge; Issues surrounding the articulation and communication of the purpose and the nature of ODM and connecting it to other strategic and operational initiatives and activities of the organization; Strategic implications of ODM; Organizational learning; Decision support systems; Knowledge management; Data warehousing; Data mining tools, technologies and algorithms; Artificial Intelligence in Organizations; Knowledge discovery from databases; Web and E-commerce integration, strategies and challenges; Technical and database challenges in ODM; Measuring ODM effectiveness; Organizational, managerial, personnel, cultural, procedural and political issues in ODM; Global and cultural aspects and considerations in ODM; Case studies in all aspects of ODM; and ODM future trends.
SUBMISSION AND REVIEW PROCEDURES As much as possible, all submissions must be done electronically to nemati@uncg.edu or barko@attglobal.net. If electronic submission is not possible, please contact Hamid Nemati at the address below. Researchers and practitioners are encouraged to submit a 2-5 page chapter proposal on or before November 30, 2001. Chapter proposals should clearly state the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by December 8, 2001 about the status of their proposals and sent chapter organizational guidelines. Full chapters are expected to be submitted by April 1, 2002. The length of full chapter manuscript submitted is not specifically limited, however, the length should be reasonable. All submitted book chapters will be reviewed. The review process is double blind and refereed. Every attempt will be made to maintain this review schedule. The authors will be kept informed of the review status of their submissions.
Inquiries and Submissions can be forwarded electronically (Word 97 or higher) to: Dr. Hamid Nemati (nemati@uncg.edu) or Christopher Barko (barko@attglobal.net) The University of North Carolina at Greensboro ISOM Dept. Greensboro, NC 27402 Tel: (336) 334-4993, Fax: (336) 334 4083 To see more information and to submit proposals, please see: http://elvis.uncg.edu/bae/hrnemati/odmcfp.htm
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