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Chapter I. Organizational Data Mining(ODM): An Introduction
Hamid R. Nemati, University of North Carolina at Greensboro, USA
Christopher D. Barko, University of North Carolina at Greensboro, USA
Chapter II. Multinational Corporate Sustainability: A Content Analysis Approach
Riad A. Ajami, University of North Carolina at Greensboro, USA
Marca Marie Bear, University of Tampa, USA
Hanne Norreklit, Aarhus School of Business, Denmark
Chapter III. A Porter Framework for Understanding the Strategic Potential of Data Mining for the Australian Banking Industry
Kate A. Smith, Monash University, Australia
Mark S. Dale, Monash University, Australia
Chapter IV. The Role ofData Mining in Organizational Cognition
Chandra S. Amaravadi, Western Illinois University, USA
Farhad Daneshgar, University of New South Wales, Australia
Chapter V. Privacy Implications of Organizational Data Mining.
Hamid R. Nemati, University of North Carolina at Greensboro, USA
Charmion Brathwaite, University of North Carolina at Greensboro, USA
Kara Harrington, University of North Carolina at Greensboro, USA
Chapter VI. Knowledge Exchange in Organizations is a Potential, Not a Given:
Methodologies for Assessment and Management of a Knowledge-Sharing Culture
Richard E. Potter, University of lllinois at Chicago, USA
Pierre A. Balthazardl, Arizona State University West, USA
Chapter VII. Organic Knowledge Management for Web-Based Customer Service
Stephen D. Durbin, RightNow Technologies, USA
Doug Warner, RightNow Technologies, USA
J. Neal Richter, RightNow Technologies, USA
Zuzana Gedeon, Right Now Technologies, USA
Chapter VIII. AData MiningApproach to Formulating a Successful Purchasing Negotiation Strategy
Hokey Min, University of Louisville-Shelhy, USA
Ahmed Emam, Western Kentucky University, USA
Chapter IX. Mining Meaning: Extracting Value from Virtual Discussions
William L. Tullar; University of North Carolina at Greensboro, USA
SECTION 111: ODM ANALYTICS AND AL;ORITHMS
Chapter X. An Intelligent Support System Integrating Data Mining and Online Analytical Processing
Rahul Singh, University of North Carolina at Greensboro. USA
Richard T. Redmond, Virginia Commonwealth University, USA
Victoria Yoon, University of Maryland Baltimore Counot, USA
Chapter XI. Knowledge Mining in DSS Model Analysis
David M. Steiger, University of Maine, USA
Natalie M. Steiger, University of Maine, USA
Chapter XII. EmpoweringModern Managers: Towards an Agent-Based Decision Support System
Rustam Vahidov, Concordia University, Canada
Chapter XIII. Mining Message Board Content on the World Wide Web for Organizational Information
Cheryl Aasheim, Georgia Southern University, USA
Gary J. Koehler, University of Florida, USA
SECTION IV: INDUSTRIAL ODM APPLICATIONS
Chapter XIV. Data Warehousing: The 3M Experience
Hugh J. Watson, University of Georgia, USA
Barbara H. Wixom, University of Virginia, USA
Dale L. Goodhue, University of Georgia, USA
Chapter XV. Data Mining in Franchise Organizations
Ye-Sho Chen, Louisiana State University, USA
Robert Justis, Louisiana State University, USA
P. Pete Chong, University of Houston-Downtown, USA
Chapter XVI. The Use of Fuzzy Logic and Expert Reasoning for Knowledge Management and Discovery ofFinancial Reporting Fraud
Mary Jane Lenard, University of North Carolina at Greensboro, USA
Pervaiz A lam, Kent State University, USA
Chapter XVII. Gaining Strategic Advantage Through Bibliomining:
Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries
Scott Nicholson, Syracuse University, USA
Jeffrey Stanton, Syracuse University, USA
Chapter XVIII. Translating Advances in Data Mining to Business Operations: The Art of Data Mining in Retailing,
Henry Dillon, Independent Consultant, UK
Beverley Hope, Victoria University of Wellington, New Zealand
SECTION V: 0DM CHALLENGES AND OPPORTUNITIES
Chapter XIX. Impediments to Exploratory Data Mining Success
Jeff Zeanah, Z Solutions, Inc., USA
Chapter XX. Towards Constructionist Organizational Data Mining (0DM): Changing the Focus from Tech nology to Social Construction of Knowledge
Isabel Ramos, Universidade do Minho, Portugal
Jodo.4lvaro Carvalho, Universidade do Minho, Portugal
Chapter XXI. E-Commerce and Data Mining: Integration Issues and Challenges
Parviz Partow-Navid, California State University, Los Angeles, USA
Ludwig Slusky, California State University, Los Angeles, USA
Chapter XXII. A Framework for Organizational Data Analysis and Org!anizational Data Mining
Bernd Knobloch, University of Bamberg, Germany
Library of Congress Subject Headings for this publication: Knowledge management, Data mining, Business Data processing